diff --git "a/test/Real2_VQA_test.json" "b/test/Real2_VQA_test.json" new file mode 100644--- /dev/null +++ "b/test/Real2_VQA_test.json" @@ -0,0 +1,3809 @@ +[ { + "sequence_frame": "23-00000022", + "question_id": "MDMT_OB_UAV2_001", + "question_type": "Object Grounding", + "question": "Where is the white van located relative to the white truck in this scene?", + "options": { + "A": "The white van is in the same lane as the white truck but ahead of it", + "B": "The white van is in a different lane and further to the left than the white truck", + "C": "The white van is directly behind the white truck in the same lane", + "D": "The white van is on the opposite side of the road from the white truck" + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/23-00000022-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/23-00000022-UAV2.jpg" + } + }, + { + "sequence_frame": "64-00000450", + "question_id": "MDMT_OB_UNKNOWN_002", + "question_type": "Observing Posture", + "question": "Which UAV perspective better illustrates the orientation of the yellow bus relative to the crosswalk?", + "options": { + "A": "UAV1, as it shows the bus directly aligned with the crosswalk", + "B": "UAV2, as it provides a clearer view of the bus's angle to the crosswalk", + "C": "Both perspectives show the same orientation clearly", + "D": "Neither perspective adequately shows the bus's orientation" + }, + "correct_answer": "C", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/64-00000450-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/64-00000450-UAV2.jpg" + } + }, + { + "sequence_frame": "69-00000220", + "question_id": "MDMT_OB_UAV1_003", + "question_type": "Object Counting", + "question": "Based on the image analysis, how many targets (vehicles, pedestrians, bicycles) can be observed in UAV1's perspective?", + "options": { + "A": "81", + "B": "76", + "C": "79", + "D": "78" + }, + "correct_answer": "C", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/69-00000220-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/69-00000220-UAV2.jpg" + } + }, + { + "sequence_frame": "65-00000700", + "question_id": "MDMT_US_UAV2_004", + "question_type": "Usability Assessment", + "question": "Is the image captured by UAV2 usable for target perception tasks?", + "options": { + "A": "Yes, barely usable", + "B": "Yes, usable", + "C": "No, not usable", + "D": "Yes, highly usable" + }, + "correct_answer": "B", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/65-00000700-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/65-00000700-UAV2.jpg" + } + }, + { + "sequence_frame": "25-00000075", + "question_id": "MDMT_WH_UAV2_005", + "question_type": "What to Collaborate", + "question": "What specific scene context information should UAV2 share with UAV1 to enhance traffic flow understanding?", + "options": { + "A": "Details of the nearby construction site activity", + "B": "The target is too small, and it is blocked.", + "C": "Condition of the roadside greenery and pathways", + "D": "Visibility of the water body adjacent to the road" + }, + "correct_answer": "B", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/25-00000075-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/25-00000075-UAV2.jpg" + } + }, + { + "sequence_frame": "25-00000150", + "question_id": "MDMT_US_UAV1_006", + "question_type": "Usability Assessment", + "question": "Is the image captured by UAV1 usable for target perception tasks?", + "options": { + "A": "No, not usable", + "B": "Yes, highly usable", + "C": "Yes, partially usable", + "D": "Yes, usable" + }, + "correct_answer": "D", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/25-00000150-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/25-00000150-UAV2.jpg" + } + }, + { + "sequence_frame": "28-00000200", + "question_id": "MDMT_OB_UAV2_007", + "question_type": "Object Recognition", + "question": "What type of non-vehicle object is prominently visible on the pedestrian crossing?", + "options": { + "A": "A cyclist", + "B": "A pedestrian", + "C": "A streetlight", + "D": "A traffic sign" + }, + "correct_answer": "B", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/28-00000200-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/28-00000200-UAV2.jpg" + } + }, + { + "sequence_frame": "53-00000399", + "question_id": "MDMT_CA_UAV2_008", + "question_type": "Causal Assessment", + "question": "What main factor might affect object detection in this scene?", + "options": { + "A": "Low contrast due to similar colors of vehicles and road", + "B": "Partial occlusion by other vehicles on the road", + "C": "High noise from image compression artifacts", + "D": "Overexposure due to bright sunlight" + }, + "correct_answer": "B", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/53-00000399-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/53-00000399-UAV2.jpg" + } + }, + { + "sequence_frame": "44-00000180", + "question_id": "MDMT_OB_UAV1_009", + "question_type": "Object Recognition", + "question": "Which type of vehicle is most frequently observed in the parking lot?", + "options": { + "A": "SUVs", + "B": "Compact cars", + "C": "Luxury sedans", + "D": "Pickup trucks" + }, + "correct_answer": "B", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/44-00000180-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/44-00000180-UAV2.jpg" + } + }, + { + "sequence_frame": "29-00000134", + "question_id": "MDMT_OB_UAV2_010", + "question_type": "Object Counting", + "question": "Based on the image analysis, how many targets (vehicles, pedestrians, bicycles) can be observed in UAV2's perspective?", + "options": { + "A": "54", + "B": "58", + "C": "55", + "D": "57" + }, + "correct_answer": "C", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/29-00000134-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/29-00000134-UAV2.jpg" + } + }, + { + "sequence_frame": "32-00000550", + "question_id": "MDMT_OB_UNKNOWN_011", + "question_type": "Object Matching", + "question": "Which object in UAV2 corresponds to the teal car approaching the intersection in UAV1?", + "options": { + "A": "The teal car now seen further down the road, moving away from the intersection in UAV2", + "B": "The white car positioned near the center of the intersection in UAV2", + "C": "The teal car now stopped at the intersection in UAV2", + "D": "The black car turning right at the intersection in UAV2" + }, + "correct_answer": "C", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/32-00000550-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/32-00000550-UAV2.jpg" + } + }, + { + "sequence_frame": "29-00000450", + "question_id": "MDMT_CA_UAV1_012", + "question_type": "Causal Assessment", + "question": "What is the primary cause of reduced visibility in this image?", + "options": { + "A": "Shadowing due to overhead structures", + "B": "Dim lighting conditions affecting clarity", + "C": "Occlusion by large vehicles blocking view", + "D": "Motion blur from fast-moving objects" + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/29-00000450-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/29-00000450-UAV2.jpg" + } + }, + { + "sequence_frame": "64-00000700", + "question_id": "MDMT_US_UAV1_013", + "question_type": "Usability Assessment", + "question": "Is the image captured by UAV1 usable for target perception tasks?", + "options": { + "A": "No, not usable", + "B": "Yes, usable", + "C": "Yes, highly usable", + "D": "Yes, barely usable" + }, + "correct_answer": "B", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/64-00000700-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/64-00000700-UAV2.jpg" + } + }, + { + "sequence_frame": "69-00000403", + "question_id": "MDMT_WH_UAV2_014", + "question_type": "Why to Collaborate", + "question": "Why should UAV2 collaborate with another UAV?", + "options": { + "A": "The target is too small, and it is blocked.", + "B": "To capture a wider geographical area for comprehensive mapping", + "C": "To increase the speed of data transmission between UAVs", + "D": "To reduce battery consumption by sharing tasks" + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/69-00000403-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/69-00000403-UAV2.jpg" + } + }, + { + "sequence_frame": "63-00000279", + "question_id": "MDMT_US_UAV1_015", + "question_type": "Usability Assessment", + "question": "Is the image captured by UAV1 usable for target perception tasks?", + "options": { + "A": "Yes, usable", + "B": "No, not usable", + "C": "Yes, barely usable", + "D": "Yes, partially usable" + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/63-00000279-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/63-00000279-UAV2.jpg" + } + }, + { + "sequence_frame": "MDMT_what2col_UAV2_11", + "question_id": "MDMT_WH_UAV2_016", + "question_type": "What to Collaborate", + "question": "What specific scene context information should UAV2 share with UAV1 to enhance traffic flow understanding?", + "options": { + "A": "Details of the grassy area beside the road", + "B": "Presence and movement of the red vehicle on the sidewalk", + "C": "The exact speed of vehicles in its view", + "D": "Lane usage and vehicle distribution across lanes" + }, + "correct_answer": "D", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/23-00000037-UAV1-noise.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/23-00000037-UAV2-noise.jpg" + } + }, + { + "sequence_frame": "MDMT_when2col_UAV1_97", + "question_id": "MDMT_WH_UAV1_017", + "question_type": "When to Collaborate", + "question": "Should UAV1 collaborate with another UAV to address need for collaboration due to incomplete information?", + "options": { + "A": "Yes, due to partial occlusion of key objects", + "B": "No, the scene is fully visible", + "C": "Yes, due to poor visibility of the objects", + "D": "No, all objects are clearly captured" + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/39-00000667-UAV1-noise.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/39-00000667-UAV2-noise.jpg" + } + }, + { + "sequence_frame": "64-00000620", + "question_id": "MDMT_OB_UAV1_018", + "question_type": "Object Grounding", + "question": "Which vehicle is positioned directly opposite the yellow bus across the intersection?", + "options": { + "A": "The red car near the left edge of the image", + "B": "The white car approaching the intersection from the bottom", + "C": "The black car in the middle lane", + "D": "The teal car on the far right" + }, + "correct_answer": "B", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/64-00000620-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/64-00000620-UAV2.jpg" + } + }, + { + "sequence_frame": "MDMT_CA_UAV2_10", + "question_id": "MDMT_CA_UAV2_019", + "question_type": "Causal Assessment", + "question": "What main factor might affect object detection in this scene?", + "options": { + "A": "High noise from environmental conditions", + "B": "Occlusion by large vehicles", + "C": "Low resolution due to distance", + "D": "Overexposure from bright lighting" + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/23-00000067-UAV1-noise.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/23-00000067-UAV2-noise.jpg" + } + }, + { + "sequence_frame": "29-00000593", + "question_id": "MDMT_US_UAV1_020", + "question_type": "Usability Assessment", + "question": "Is the image captured by UAV1 usable for target perception tasks?", + "options": { + "A": "Yes, barely usable", + "B": "Yes, partially usable", + "C": "Yes, usable", + "D": "Yes, highly usable" + }, + "correct_answer": "C", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/29-00000593-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/29-00000593-UAV2.jpg" + } + }, + { + "sequence_frame": "76-00000420", + "question_id": "MDMT_SC_UAV2_021", + "question_type": "Scene Description", + "question": "How do the vehicles at the intersection interact with the pedestrian crossing?", + "options": { + "A": "There are no people on the zebra crossing.", + "B": "Vehicles are moving through the intersection without stopping", + "C": "Vehicles are parked along the side, not interacting with the crossing", + "D": "Vehicles are turning in a way that avoids the pedestrian crossing" + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/76-00000420-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/76-00000420-UAV2.jpg" + } + }, + { + "sequence_frame": "25-00000150", + "question_id": "MDMT_WH_UAV2_022", + "question_type": "Who to Collaborate", + "question": "Which UAV should UAV2 collaborate with for collaboration partner for complementary perspective?", + "options": { + "A": "UAV1", + "B": "None (no need for collaboration)", + "C": "A ground-based sensor", + "D": "None (no suitable collaboration partner)" + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/25-00000150-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/25-00000150-UAV2.jpg" + } + }, + { + "sequence_frame": "42-00000260", + "question_id": "MDMT_WH_UAV2_023", + "question_type": "What to Collaborate", + "question": "What specific scene context information should UAV2 share with UAV1 to enhance traffic flow understanding?", + "options": { + "A": "Details of the parked vehicles along the side of the road", + "B": "Movement patterns of pedestrians near the parking area", + "C": "Traffic flow on the opposite side of the road not visible to UAV1", + "D": "Presence and status of traffic signals at intersections" + }, + "correct_answer": "B", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/42-00000260-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/42-00000260-UAV2.jpg" + } + }, + { + "sequence_frame": "23-00000076", + "question_id": "MDMT_WH_UAV2_024", + "question_type": "Who to Collaborate", + "question": "Which UAV should UAV2 collaborate with for collaboration partner for complementary perspective?", + "options": { + "A": "None", + "B": "UAV1", + "C": "A ground-based sensor", + "D": "UAV1" + }, + "correct_answer": "B", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/23-00000076-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/23-00000076-UAV2.jpg" + } + }, + { + "sequence_frame": "50-00000333", + "question_id": "MDMT_SC_UAV2_025", + "question_type": "Scene Description", + "question": "How are the lanes on the main road organized in relation to the central divider?", + "options": { + "A": "Lanes are symmetrical with equal numbers on both sides of the divider", + "B": "More lanes are present on the left side compared to the right side", + "C": "The divider is absent, allowing free movement across lanes", + "D": "Lanes are arranged in a staggered pattern around the divider" + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/50-00000333-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/50-00000333-UAV2.jpg" + } + }, + { + "sequence_frame": "30-00000199", + "question_id": "MDMT_SC_UAV1_026", + "question_type": "Scene Description", + "question": "How are the parking areas arranged relative to the main roads in this scene?", + "options": { + "A": "Parking areas are located between the two main roads", + "B": "Parking areas are situated parallel to the main roads on both sides", + "C": "Parking areas are positioned perpendicular to the main roads", + "D": "Parking areas are integrated within the central median" + }, + "correct_answer": "B", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/30-00000199-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/30-00000199-UAV2.jpg" + } + }, + { + "sequence_frame": "23-00000319", + "question_id": "MDMT_WH_UAV1_027", + "question_type": "Who to Collaborate", + "question": "Which UAV should UAV1 collaborate with for collaboration partner for complementary perspective?", + "options": { + "A": "None", + "B": "UAV2", + "C": "A ground-based sensor", + "D": "UAV1" + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/23-00000319-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/23-00000319-UAV2.jpg" + } + }, + { + "sequence_frame": "28-00000013", + "question_id": "MDMT_SC_UAV2_028", + "question_type": "Scene Description", + "question": "How are the parking areas with red ground spatially arranged relative to the main road in this scene?", + "options": { + "A": "Parking areas are located directly adjacent to the main road on both sides", + "B": "Parking areas are situated parallel to the main road but separated by green spaces", + "C": "Parking areas are positioned perpendicular to the main road, intersecting it", + "D": "Parking areas are absent from the scene" + }, + "correct_answer": "B", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/28-00000013-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/28-00000013-UAV2.jpg" + } + }, + { + "sequence_frame": "29-00000450", + "question_id": "MDMT_WH_UAV1_029", + "question_type": "When to Collaborate", + "question": "Should UAV1 collaborate with another UAV to address need for collaboration due to incomplete information?", + "options": { + "A": "Yes, due to partial occlusion of key objects", + "B": "No, the scene is fully visible", + "C": "Yes, due to poor visibility of the objects", + "D": "No, all objects are clearly captured" + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/29-00000450-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/29-00000450-UAV2.jpg" + } + }, + { + "sequence_frame": "28-00000060", + "question_id": "MDMT_SC_UAV1_030", + "question_type": "Scene Description", + "question": "How do the pedestrians interact with the vehicles at the crosswalk in this scene?", + "options": { + "A": "Pedestrians are crossing while vehicles are stopped, ensuring safety", + "B": "Pedestrians are waiting at the curb as vehicles pass through the intersection", + "C": "Pedestrians and vehicles are moving simultaneously without any apparent interaction", + "D": "There are no pedestrians present in the scene" + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/28-00000060-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/28-00000060-UAV2.jpg" + } + }, + { + "sequence_frame": "32-00000690", + "question_id": "MDMT_WH_UAV1_031", + "question_type": "What to Collaborate", + "question": "What specific scene context information should UAV1 share with UAV2 to enhance traffic flow analysis?", + "options": { + "A": "Details of the parked cars along the side roads", + "B": "Patterns of vehicle movement in the central lanes", + "C": "Presence and movement of pedestrians on sidewalks", + "D": "Condition of the road surface and markings" + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/32-00000690-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/32-00000690-UAV2.jpg" + } + }, + { + "sequence_frame": "MDMT_QA_UAV1_194", + "question_id": "MDMT_QU_UAV1_032", + "question_type": "Quality Assessment", + "question": "What is the perception quality assessment score (1-5) for the image captured by UAV1?", + "options": { + "A": "5", + "B": "2", + "C": "1", + "D": "3" + }, + "correct_answer": "D", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/39-00000700-UAV1-loss.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/39-00000700-UAV2-loss.jpg" + } + }, + { + "sequence_frame": "30-00000250", + "question_id": "MDMT_WH_UAV1_033", + "question_type": "What to Collaborate", + "question": "What specific scene context information should UAV1 share with UAV2 to enhance overall traffic monitoring?", + "options": { + "A": "Details of the parked cars along the sides of the road", + "B": "Traffic flow patterns on the multi-lane road", + "C": "Presence and movement of pedestrians near the sidewalks", + "D": "Condition of the road surface and lane markings" + }, + "correct_answer": "AB", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/30-00000250-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/30-00000250-UAV2.jpg" + } + }, + { + "sequence_frame": "28-00000317", + "question_id": "MDMT_WH_UAV1_034", + "question_type": "Why to Collaborate", + "question": "Why should UAV1 collaborate with another UAV based on the provided images?", + "options": { + "A": "To overcome object occlusion and gain a complete view of the scene.", + "B": "To enhance image clarity and reduce noise interference.", + "C": "To capture targets that are too small or distant in the current perspective.", + "D": "To provide a different angle that may include out-of-view elements." + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/28-00000317-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/28-00000317-UAV2.jpg" + } + }, + { + "sequence_frame": "MDMT_who2col_UAV2_84", + "question_id": "MDMT_WH_UAV2_035", + "question_type": "Who to Collaborate", + "question": "Which UAV should UAV2 collaborate with for collaboration partner for specific object data?", + "options": { + "A": "UAV1", + "B": "None (no need for collaboration)", + "C": "A ground-based sensor", + "D": "None (no suitable collaboration partner)" + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/39-00000460-UAV1-loss.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/39-00000460-UAV2-loss.jpg" + } + }, + { + "sequence_frame": "23-00000059", + "question_id": "MDMT_US_UAV1_036", + "question_type": "Usability Assessment", + "question": "Is the image captured by UAV1 usable for target perception tasks?", + "options": { + "A": "No, not usable", + "B": "Yes, partially usable", + "C": "Yes, usable", + "D": "Yes, barely usable" + }, + "correct_answer": "C", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/23-00000059-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/23-00000059-UAV2.jpg" + } + }, + { + "sequence_frame": "MDMT_who2col_UAV1_91", + "question_id": "MDMT_WH_UAV1_037", + "question_type": "Who to Collaborate", + "question": "Which UAV should UAV1 collaborate with for collaboration partner for specific object data?", + "options": { + "A": "UAV2", + "B": "None (no need for collaboration)", + "C": "A ground-based sensor", + "D": "None (no suitable collaboration partner)" + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/39-00000653-UAV1-noise.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/39-00000653-UAV2-noise.jpg" + } + }, + { + "sequence_frame": "MDMT_who2col_UAV1_84", + "question_id": "MDMT_WH_UAV1_038", + "question_type": "Who to Collaborate", + "question": "Which UAV should UAV1 collaborate with for collaboration partner for complementary perspective?", + "options": { + "A": "None", + "B": "UAV2", + "C": "A ground-based sensor", + "D": "UAV1" + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/39-00000460-UAV1-loss.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/39-00000460-UAV2-loss.jpg" + } + }, + { + "sequence_frame": "39-00000301", + "question_id": "MDMT_WH_UAV1_039", + "question_type": "What to Collaborate", + "question": "What specific scene context information should UAV1 share with UAV2 to enhance traffic flow understanding?", + "options": { + "A": "Details of the parked cars along the side of the road", + "B": "Presence and movement of pedestrians on the sidewalk", + "C": "Real-time speed of vehicles in the lane", + "D": "Visibility conditions due to street lighting" + }, + "correct_answer": "D", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/39-00000301-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/39-00000301-UAV2.jpg" + } + }, + { + "sequence_frame": "65-00000700", + "question_id": "MDMT_WH_UAV2_040", + "question_type": "Who to Collaborate", + "question": "Which UAV should UAV2 collaborate with for collaboration partner for specific object data?", + "options": { + "A": "UAV1", + "B": "None (no need for collaboration)", + "C": "A ground-based sensor", + "D": "None (no suitable collaboration partner)" + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/65-00000700-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/65-00000700-UAV2.jpg" + } + }, + { + "sequence_frame": "50-00000300", + "question_id": "MDMT_OB_UAV1_041", + "question_type": "Object Counting", + "question": "Based on the image analysis, how many targets (vehicles, pedestrians, bicycles) can be observed in UAV1's perspective?", + "options": { + "A": "25", + "B": "21", + "C": "24", + "D": "22" + }, + "correct_answer": "D", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/50-00000300-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/50-00000300-UAV2.jpg" + } + }, + { + "sequence_frame": "74-00000220", + "question_id": "MDMT_OB_UAV2_042", + "question_type": "Object Grounding", + "question": "Where is the blue car located relative to the pedestrian crossing?", + "options": { + "A": "The blue car is approaching the pedestrian crossing from the north", + "B": "The blue car is stopped at the pedestrian crossing", + "C": "The blue car is moving away from the pedestrian crossing towards the south", + "D": "The blue car is parked on the side of the road near the pedestrian crossing" + }, + "correct_answer": "B", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/74-00000220-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/74-00000220-UAV2.jpg" + } + }, + { + "sequence_frame": "74-00000330", + "question_id": "MDMT_OB_UAV1_043", + "question_type": "Object Recognition", + "question": "Which type of vehicle is distinctly visible near the center of the image, crossing the road?", + "options": { + "A": "A green taxi", + "B": "A red bus", + "C": "A white truck", + "D": "A blue motorcycle" + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/74-00000330-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/74-00000330-UAV2.jpg" + } + }, + { + "sequence_frame": "23-00000665", + "question_id": "MDMT_US_UAV1_044", + "question_type": "Usability Assessment", + "question": "Is the image captured by UAV1 usable for target perception tasks?", + "options": { + "A": "Yes, barely usable", + "B": "Yes, highly usable", + "C": "No, not usable", + "D": "Yes, partially usable" + }, + "correct_answer": "B", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/23-00000665-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/23-00000665-UAV2.jpg" + } + }, + { + "sequence_frame": "MDMT_QA_UAV2_21", + "question_id": "MDMT_QU_UAV2_045", + "question_type": "Quality Assessment", + "question": "What is the perception quality assessment score (1-5) for the image captured by UAV2?", + "options": { + "A": "5", + "B": "1", + "C": "4", + "D": "2" + }, + "correct_answer": "D", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/23-00000037-UAV1-noise.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/23-00000037-UAV2-noise.jpg" + } + }, + { + "sequence_frame": "23-00000046", + "question_id": "MDMT_SC_UAV1_046", + "question_type": "Scene Description", + "question": "How are the vehicles spatially arranged on the road in this scene?", + "options": { + "A": "Vehicles are evenly spaced in both lanes", + "B": "Vehicles are clustered in one lane while the other is empty", + "C": "Vehicles are parked along the side of the road", + "D": "Vehicles are moving in opposite directions in adjacent lanes" + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/23-00000046-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/23-00000046-UAV2.jpg" + } + }, + { + "sequence_frame": "32-00000676", + "question_id": "MDMT_CA_UAV1_047", + "question_type": "Causal Assessment", + "question": "What is the primary cause of reduced perception quality in this image?", + "options": { + "A": "Overexposure due to bright sunlight", + "B": "Motion blur from fast-moving vehicles", + "C": "Occlusion by surrounding buildings", + "D": "Low contrast due to overcast weather" + }, + "correct_answer": "D", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/32-00000676-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/32-00000676-UAV2.jpg" + } + }, + { + "sequence_frame": "23-00000054", + "question_id": "MDMT_OB_UAV2_048", + "question_type": "Object Recognition", + "question": "What type of non-vehicle object is visible near the center-right of the image?", + "options": { + "A": "A cyclist", + "B": "A pedestrian", + "C": "A streetlight", + "D": "A bench" + }, + "correct_answer": "C", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/23-00000054-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/23-00000054-UAV2.jpg" + } + }, + { + "sequence_frame": "66-00000420", + "question_id": "MDMT_SC_UAV1_049", + "question_type": "Scene Description", + "question": "How do the vehicles on the road interact with the pedestrian areas in this scene?", + "options": { + "A": "Vehicles are stopped near pedestrian crossings, indicating potential interaction", + "B": "Vehicles are moving away from pedestrian areas, showing no immediate interaction", + "C": "Vehicles are parked along the side, not interacting with pedestrian areas", + "D": "Vehicles are driving through pedestrian areas, suggesting unsafe interaction" + }, + "correct_answer": "C", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/66-00000420-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/66-00000420-UAV2.jpg" + } + }, + { + "sequence_frame": "63-00000020", + "question_id": "MDMT_US_UAV2_050", + "question_type": "Usability Assessment", + "question": "Is the image captured by UAV2 usable for target perception tasks?", + "options": { + "A": "Yes, usable", + "B": "Yes, barely usable", + "C": "Yes, highly usable", + "D": "Yes, partially usable" + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/63-00000020-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/63-00000020-UAV2.jpg" + } + }, + { + "sequence_frame": "MDMT_OR_UAV2_21", + "question_id": "MDMT_OB_UAV2_051", + "question_type": "Object Recognition", + "question": "In the scene, what type of non-vehicle object is most likely to be a pedestrian?", + "options": { + "A": "A cyclist near the center of the road", + "B": "A person walking on the sidewalk", + "C": "The person at the intersection in the lower center of the picture.", + "D": "A runner in the crosswalk" + }, + "correct_answer": "C", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/23-00000075-UAV1-noise.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/23-00000075-UAV2-noise.jpg" + } + }, + { + "sequence_frame": "51-00000250", + "question_id": "MDMT_QU_UAV1_052", + "question_type": "Quality Assessment", + "question": "What is the perception quality assessment score (1-5) for the image captured by UAV1?", + "options": { + "A": "4", + "B": "1", + "C": "5", + "D": "3" + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/51-00000250-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/51-00000250-UAV2.jpg" + } + }, + { + "sequence_frame": "45-00000112", + "question_id": "MDMT_SC_UAV1_053", + "question_type": "Scene Description", + "question": "How do the vehicles and pedestrians interact at the crosswalks in this scene?", + "options": { + "A": "Vehicles are stopped, allowing pedestrians to cross safely", + "B": "Pedestrians are waiting at the corners, with no vehicles stopping", + "C": "Vehicles and pedestrians are moving simultaneously without interference", + "D": "There are no visible pedestrians or vehicles near the crosswalks" + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/45-00000112-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/45-00000112-UAV2.jpg" + } + }, + { + "sequence_frame": "65-00000500", + "question_id": "MDMT_QU_UAV1_054", + "question_type": "Quality Assessment", + "question": "What is the perception quality assessment score (1-5) for the image captured by UAV1?", + "options": { + "A": "1", + "B": "4", + "C": "3", + "D": "5" + }, + "correct_answer": "B", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/65-00000500-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/65-00000500-UAV2.jpg" + } + }, + { + "sequence_frame": "70-00000164", + "question_id": "MDMT_OB_UAV2_055", + "question_type": "Object Grounding", + "question": "Where is the large green landscaped area located relative to the multi-lane road?", + "options": { + "A": "The landscaped area is adjacent to the right side of the road", + "B": "The landscaped area is directly under the road", + "C": "The landscaped area is on the left side, separated by buildings", + "D": "The landscaped area is in the middle of the road" + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/70-00000164-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/70-00000164-UAV2.jpg" + } + }, + { + "sequence_frame": "23-00000281", + "question_id": "MDMT_WH_UAV1_056", + "question_type": "What to Collaborate", + "question": "What specific object information should UAV1 share with UAV2 to improve perception?", + "options": { + "A": "Details of the red car's position and movement on the left lane", + "B": "Details of the pedestrian near the bottom center of the image", + "C": "Details of the greenery and park area on the right side", + "D": "Details of the parked cars along the sidewalk" + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/23-00000281-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/23-00000281-UAV2.jpg" + } + }, + { + "sequence_frame": "44-00000365", + "question_id": "MDMT_QU_UAV1_057", + "question_type": "Quality Assessment", + "question": "What is the perception quality assessment score (1-5) for the image captured by UAV1?", + "options": { + "A": "1", + "B": "5", + "C": "3", + "D": "2" + }, + "correct_answer": "C", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/44-00000365-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/44-00000365-UAV2.jpg" + } + }, + { + "sequence_frame": "45-00000010", + "question_id": "MDMT_WH_UAV2_058", + "question_type": "Why to Collaborate", + "question": "Why should UAV2 collaborate with another UAV?", + "options": { + "A": "To overcome object occlusion and gain a complete view of the scene", + "B": "To enhance image brightness and improve target visibility", + "C": "To capture targets that are out of its current field of view", + "D": "To provide a closer perspective on distant objects" + }, + "correct_answer": "D", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/45-00000010-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/45-00000010-UAV2.jpg" + } + }, + { + "sequence_frame": "23-00000060", + "question_id": "MDMT_WH_UAV2_059", + "question_type": "Who to Collaborate", + "question": "Which UAV should UAV2 collaborate with for collaboration partner for specific object data?", + "options": { + "A": "None", + "B": "UAV1", + "C": "A ground-based sensor", + "D": "UAV1" + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/23-00000060-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/23-00000060-UAV2.jpg" + } + }, + { + "sequence_frame": "MDMT_why2col_UAV1_89", + "question_id": "MDMT_WH_UAV1_060", + "question_type": "Why to Collaborate", + "question": "Why should UAV1 collaborate with another UAV?", + "options": { + "A": "To enhance visibility of targets under shadow conditions", + "B": "To capture a wider geographical area", + "C": "To increase the speed of data transmission", + "D": "To reduce power consumption during flight" + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/39-00000460-UAV1-noise.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/39-00000460-UAV2-noise.jpg" + } + }, + { + "sequence_frame": "58-00000120", + "question_id": "MDMT_WH_UAV1_061", + "question_type": "Why to Collaborate", + "question": "Why should UAV1 collaborate with another UAV in the given scenario?", + "options": { + "A": "To overcome object occlusion and gain a complete view of the scene", + "B": "To enhance image brightness and improve target visibility under shadow", + "C": "To capture targets that are out-of-view in the current perspective", + "D": "To provide a larger and more visible representation of distant objects" + }, + "correct_answer": "B", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/58-00000120-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/58-00000120-UAV2.jpg" + } + }, + { + "sequence_frame": "54-00000570", + "question_id": "MDMT_OB_UNKNOWN_062", + "question_type": "Observing Posture", + "question": "Which UAV perspective better illustrates the relative positioning of the yellow bus in relation to the surrounding vehicles?", + "options": { + "A": "UAV1 provides a clearer view due to its direct overhead angle", + "B": "UAV2 provides a clearer view due to its angled perspective", + "C": "Both UAVs provide equally clear views of the bus's positioning", + "D": "Neither UAV clearly shows the bus's positioning relative to other vehicles" + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/54-00000570-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/54-00000570-UAV2.jpg" + } + }, + { + "sequence_frame": "45-00000050", + "question_id": "MDMT_OB_UNKNOWN_063", + "question_type": "Object Matching", + "question": "Which object in UAV2 corresponds to the dark gray car approaching the intersection from the left in UAV1?", + "options": { + "A": "The dark gray car now seen turning right at the intersection in UAV2", + "B": "The white car moving straight through the intersection in UAV2", + "C": "The dark gray car now seen approaching the intersection from the top in UAV2", + "D": "The black car parked on the right side of the road in UAV2" + }, + "correct_answer": "C", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/45-00000050-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/45-00000050-UAV2.jpg" + } + }, + { + "sequence_frame": "66-00000700", + "question_id": "MDMT_OB_UAV1_064", + "question_type": "Object Recognition", + "question": "What type of non-vehicle object is prominently visible along the road's edge?", + "options": { + "A": "Street lamps", + "B": "Pedestrian barriers", + "C": "Traffic signs", + "D": "Bicycle racks" + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/66-00000700-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/66-00000700-UAV2.jpg" + } + }, + { + "sequence_frame": "28-00000013", + "question_id": "MDMT_OB_UAV1_065", + "question_type": "Object Counting", + "question": "Based on the image analysis, how many targets (vehicles, pedestrians, bicycles) can be observed in UAV1's perspective?", + "options": { + "A": "36", + "B": "37", + "C": "38", + "D": "35" + }, + "correct_answer": "B", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/28-00000013-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/28-00000013-UAV2.jpg" + } + }, + { + "sequence_frame": "MDMT_CA_UAV1_9", + "question_id": "MDMT_CA_UAV1_066", + "question_type": "Causal Assessment", + "question": "What is the primary cause of reduced perception quality in this image?", + "options": { + "A": "Occlusion by large vehicles blocking smaller objects", + "B": "Motion blur from fast-moving vehicles", + "C": "Low resolution due to distant observation and noise", + "D": "Overexposure from bright sunlight" + }, + "correct_answer": "C", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/23-00000067-UAV1-noise.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/23-00000067-UAV2-noise.jpg" + } + }, + { + "sequence_frame": "29-00000400", + "question_id": "MDMT_OB_UAV2_067", + "question_type": "Object Counting", + "question": "Based on the image analysis, how many targets (vehicles, pedestrians, bicycles) can be observed in UAV2's perspective?", + "options": { + "A": "76", + "B": "77", + "C": "74", + "D": "72" + }, + "correct_answer": "C", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/29-00000400-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/29-00000400-UAV2.jpg" + } + }, + { + "sequence_frame": "74-00000330", + "question_id": "MDMT_OB_UAV2_068", + "question_type": "Object Counting", + "question": "Based on the image analysis, how many targets (vehicles, pedestrians, bicycles) can be observed in UAV2's perspective?", + "options": { + "A": "32", + "B": "35", + "C": "31", + "D": "34" + }, + "correct_answer": "D", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/74-00000330-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/74-00000330-UAV2.jpg" + } + }, + { + "sequence_frame": "45-00000370", + "question_id": "MDMT_WH_UAV1_069", + "question_type": "When to Collaborate", + "question": "Should UAV1 collaborate with another UAV to address need for collaboration due to incomplete information?", + "options": { + "A": "Yes, due to partial occlusion of key objects", + "B": "No, the scene is fully visible", + "C": "Yes, due to poor visibility of the objects", + "D": "No, all objects are clearly captured" + }, + "correct_answer": "C", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/45-00000370-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/45-00000370-UAV2.jpg" + } + }, + { + "sequence_frame": "23-00000073", + "question_id": "MDMT_QU_UAV1_070", + "question_type": "Quality Assessment", + "question": "What is the perception quality assessment score (1-5) for the image captured by UAV1?", + "options": { + "A": "4", + "B": "3", + "C": "5", + "D": "1" + }, + "correct_answer": "C", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/23-00000073-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/23-00000073-UAV2.jpg" + } + }, + { + "sequence_frame": "25-00000005", + "question_id": "MDMT_WH_UAV2_071", + "question_type": "When to Collaborate", + "question": "Should UAV2 collaborate with another UAV to address need for collaboration due to environmental factors?", + "options": { + "A": "Yes, due to poor lighting conditions", + "B": "No, lighting is adequate", + "C": "Yes, due to low image resolution", + "D": "No, the environment is clear" + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/25-00000005-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/25-00000005-UAV2.jpg" + } + }, + { + "sequence_frame": "39-00000679", + "question_id": "MDMT_OB_UAV1_072", + "question_type": "Object Grounding", + "question": "What is the spatial relationship between the two individuals on the left and the lane markings?", + "options": { + "A": "The individuals are positioned between the lane markings and the road edge.", + "B": "The individuals are aligned with the lane markings, directly on them.", + "C": "The individuals are in the center of a lane, away from the lane markings.", + "D": "The individuals are outside the lane markings, near the road's edge." + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/39-00000679-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/39-00000679-UAV2.jpg" + } + }, + { + "sequence_frame": "58-00000005", + "question_id": "MDMT_OB_UAV2_073", + "question_type": "Object Grounding", + "question": "Where is the white car with its headlights on located relative to the pedestrian crossing?", + "options": { + "A": "The car is approaching the pedestrian crossing from the left side", + "B": "The car is stationary at the far end of the pedestrian crossing", + "C": "The car is exiting the intersection beyond the pedestrian crossing", + "D": "The car is positioned inside the pedestrian crossing area" + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/58-00000005-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/58-00000005-UAV2.jpg" + } + }, + { + "sequence_frame": "58-00000120", + "question_id": "MDMT_SC_UAV2_074", + "question_type": "Scene Description", + "question": "How do the vehicles interact with the pedestrian crossing in this nighttime scene?", + "options": { + "A": "Vehicles are stopped before the crossing, indicating respect for pedestrian safety", + "B": "Vehicles are actively passing over the crossing, suggesting no pedestrians are present", + "C": "Vehicles are parked directly on the crossing, obstructing any pedestrian movement", + "D": "Vehicles are turning around the crossing, avoiding direct interaction" + }, + "correct_answer": "B", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/58-00000120-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/58-00000120-UAV2.jpg" + } + }, + { + "sequence_frame": "58-00000210", + "question_id": "MDMT_OB_UAV2_075", + "question_type": "Object Grounding", + "question": "Which vehicle is positioned in the lane that allows it to make a right turn at the upcoming intersection?", + "options": { + "A": "The vehicle closest to the bottom of the image", + "B": "The vehicle directly under the streetlight", + "C": "The vehicle furthest from the center divider", + "D": "The vehicle second from the top of the image" + }, + "correct_answer": "C", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/58-00000210-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/58-00000210-UAV2.jpg" + } + }, + { + "sequence_frame": "32-00000610", + "question_id": "MDMT_SC_UNKNOWN_076", + "question_type": "Scene Comparison", + "question": "What is a notable difference in the types of objects visible near the buildings between UAV1 and UAV2?", + "options": { + "A": "UAV2 shows more parked cars near the buildings", + "B": "UAV2 includes a fire truck near the buildings", + "C": "UAV1 has more bicycles near the buildings", + "D": "UAV2 shows fewer windows on the buildings" + }, + "correct_answer": "B", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/32-00000610-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/32-00000610-UAV2.jpg" + } + }, + { + "sequence_frame": "28-00000045", + "question_id": "MDMT_SC_UNKNOWN_077", + "question_type": "Scene Comparison", + "question": "What is a notable difference in the types of objects visible near the road in UAV1 compared to UAV2?", + "options": { + "A": "UAV1 shows more trees near the road, while UAV2 shows more buildings.", + "B": "UAV1 shows a bus stop structure, which is absent in UAV2.", + "C": "UAV2 shows a parking lot with numerous cars, which is not visible in UAV1.", + "D": "UAV1 includes a pedestrian crossing sign, missing in UAV2." + }, + "correct_answer": "C", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/28-00000045-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/28-00000045-UAV2.jpg" + } + }, + { + "sequence_frame": "29-00000134", + "question_id": "MDMT_CA_UAV1_078", + "question_type": "Causal Assessment", + "question": "What is the primary cause of reduced perception quality in this image?", + "options": { + "A": "Occlusion by large trees along the road", + "B": "Motion blur from fast-moving vehicles", + "C": "Low resolution due to distant observation", + "D": "Overexposure from bright sunlight" + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/29-00000134-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/29-00000134-UAV2.jpg" + } + }, + { + "sequence_frame": "28-00000045", + "question_id": "MDMT_OB_UAV2_079", + "question_type": "Object Recognition", + "question": "What type of non-vehicle object is prominently visible near the pedestrian crossing?", + "options": { + "A": "A cyclist", + "B": "A pedestrian", + "C": "A streetlight", + "D": "A traffic sign" + }, + "correct_answer": "B", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/28-00000045-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/28-00000045-UAV2.jpg" + } + }, + { + "sequence_frame": "32-00000401", + "question_id": "MDMT_WH_UAV2_080", + "question_type": "When to Collaborate", + "question": "Should UAV2 collaborate with another UAV to address need for collaboration due to incomplete information?", + "options": { + "A": "Yes, due to partial occlusion of key objects", + "B": "No, the scene is fully visible", + "C": "Yes, due to poor visibility of the objects", + "D": "No, all objects are clearly captured" + }, + "correct_answer": "C", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/32-00000401-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/32-00000401-UAV2.jpg" + } + }, + { + "sequence_frame": "70-00000051", + "question_id": "MDMT_SC_UNKNOWN_081", + "question_type": "Scene Comparison", + "question": "How does the visibility of buildings differ between the two UAV perspectives?", + "options": { + "A": "UAV1 shows no buildings, while UAV2 shows detailed architectural features", + "B": "Both UAV1 and UAV2 show similar building details", + "C": "UAV1 provides a clearer view of the road, obscuring buildings", + "D": "UAV2 shows only the roof structures, while UAV1 shows the entire building facades" + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/70-00000051-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/70-00000051-UAV2.jpg" + } + }, + { + "sequence_frame": "66-00000570", + "question_id": "MDMT_SC_UNKNOWN_082", + "question_type": "Scene Comparison", + "question": "How does the visibility of the parking area differ between the two UAV perspectives?", + "options": { + "A": "UAV1 shows a more detailed view of the parking area with clearer vehicle outlines", + "B": "UAV2 provides a broader view of the parking area, revealing additional parked vehicles", + "C": "Both UAV1 and UAV2 show identical details of the parking area", + "D": "UAV1 obscures the parking area with shadows, while UAV2 does not" + }, + "correct_answer": "B", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/66-00000570-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/66-00000570-UAV2.jpg" + } + }, + { + "sequence_frame": "MDMT_when2col_UAV1_99", + "question_id": "MDMT_WH_UAV1_083", + "question_type": "When to Collaborate", + "question": "Should UAV1 collaborate with another UAV to address need for collaboration due to environmental factors?", + "options": { + "A": "Yes, due to poor lighting conditions", + "B": "yes, image loss", + "C": "Yes, due to low image resolution", + "D": "No, the environment is clear" + }, + "correct_answer": "B", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/39-00000680-UAV1-loss.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/39-00000680-UAV2-loss.jpg" + } + }, + { + "sequence_frame": "58-00000120", + "question_id": "MDMT_WH_UAV2_084", + "question_type": "What to Collaborate", + "question": "What specific object information should UAV2 share with UAV1 to improve perception?", + "options": { + "A": "Details of the vehicles approaching from the opposite direction", + "B": "Details of the road's lane markings", + "C": "Details of the traffic light status at the intersection", + "D": "Details of the surrounding trees and foliage" + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/58-00000120-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/58-00000120-UAV2.jpg" + } + }, + { + "sequence_frame": "23-00000059", + "question_id": "MDMT_QU_UAV2_085", + "question_type": "Quality Assessment", + "question": "What is the perception quality assessment score (1-5) for the image captured by UAV2?", + "options": { + "A": "4", + "B": "5", + "C": "3", + "D": "2" + }, + "correct_answer": "B", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/23-00000059-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/23-00000059-UAV2.jpg" + } + }, + { + "sequence_frame": "63-00000100", + "question_id": "MDMT_OB_UAV2_086", + "question_type": "Object Recognition", + "question": "Which type of vehicle is most frequently observed at the intersection?", + "options": { + "A": "Sedans", + "B": "Buses", + "C": "Trucks", + "D": "Motorcycles" + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/63-00000100-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/63-00000100-UAV2.jpg" + } + }, + { + "sequence_frame": "42-00000300", + "question_id": "MDMT_WH_UAV2_087", + "question_type": "When to Collaborate", + "question": "Should UAV2 collaborate with another UAV to address need for collaboration due to environmental factors?", + "options": { + "A": "Yes, due to poor lighting conditions", + "B": "No, lighting is adequate", + "C": "Yes, due to low image resolution", + "D": "No, the environment is clear" + }, + "correct_answer": "C", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/42-00000300-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/42-00000300-UAV2.jpg" + } + }, + { + "sequence_frame": "27-00000573", + "question_id": "MDMT_WH_UAV1_088", + "question_type": "When to Collaborate", + "question": "Should UAV1 collaborate with another UAV to address need for collaboration due to incomplete information?", + "options": { + "A": "Yes, due to partial occlusion of key objects", + "B": "No, the scene is fully visible", + "C": "Yes, due to poor visibility of the objects", + "D": "No, all objects are clearly captured" + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/27-00000573-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/27-00000573-UAV2.jpg" + } + }, + { + "sequence_frame": "MDMT_what2col_UAV2_7", + "question_id": "MDMT_WH_UAV2_089", + "question_type": "What to Collaborate", + "question": "What specific object information should UAV2 share with UAV1 to improve perception?", + "options": { + "A": "Details of the white vehicles' positions and movements", + "B": "Details of the parked cars on the left side", + "C": "Details of the grassy area and trees", + "D": "Details of the pedestrian pathways" + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/23-00000027-UAV1-loss.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/23-00000027-UAV2-loss.jpg" + } + }, + { + "sequence_frame": "30-00000320", + "question_id": "MDMT_OB_UAV2_090", + "question_type": "Object Counting", + "question": "Based on the image analysis, how many targets (vehicles, pedestrians, bicycles) can be observed in UAV2's perspective?", + "options": { + "A": "114", + "B": "119", + "C": "117", + "D": "118" + }, + "correct_answer": "C", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/30-00000320-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/30-00000320-UAV2.jpg" + } + }, + { + "sequence_frame": "65-00000400", + "question_id": "MDMT_WH_UAV2_091", + "question_type": "Why to Collaborate", + "question": "Why should UAV2 collaborate with another UAV?", + "options": { + "A": "To overcome object occlusion and provide a complete view.", + "B": "To enhance the visibility of objects under shadow conditions.", + "C": "To capture targets that are too small or distant in the current view.", + "D": "To fill in information gaps due to out-of-view targets." + }, + "correct_answer": "D", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/65-00000400-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/65-00000400-UAV2.jpg" + } + }, + { + "sequence_frame": "42-00000300", + "question_id": "MDMT_CA_UAV2_092", + "question_type": "Causal Assessment", + "question": "What main factor might affect object detection in this scene?", + "options": { + "A": "Low contrast due to uniform lighting", + "B": "Small Target", + "C": "Motion blur from moving vehicles", + "D": "High noise levels from image capture" + }, + "correct_answer": "B", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/42-00000300-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/42-00000300-UAV2.jpg" + } + }, + { + "sequence_frame": "69-00000700", + "question_id": "MDMT_OB_UAV1_093", + "question_type": "Object Recognition", + "question": "Which type of vehicle is predominantly featured in the center lane of this aerial view?", + "options": { + "A": "A compact hatchback", + "B": "A large SUV", + "C": "A sedan", + "D": "A minivan" + }, + "correct_answer": "C", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/69-00000700-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/69-00000700-UAV2.jpg" + } + }, + { + "sequence_frame": "45-00000200", + "question_id": "MDMT_OB_UAV1_094", + "question_type": "Object Recognition", + "question": "What type of non-vehicle object is most prominently visible near the pedestrian crossing?", + "options": { + "A": "A cyclist", + "B": "A pedestrian", + "C": "A streetlight", + "D": "A traffic sign" + }, + "correct_answer": "B", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/45-00000200-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/45-00000200-UAV2.jpg" + } + }, + { + "sequence_frame": "25-00000370", + "question_id": "MDMT_SC_UNKNOWN_095", + "question_type": "Scene Comparison", + "question": "What is the primary difference in the types of objects visible near the road between UAV1 and UAV2?", + "options": { + "A": "UAV1 shows a construction site, while UAV2 does not", + "B": "UAV2 shows more parked cars along the sidewalk", + "C": "UAV1 includes a large water body, which is absent in UAV2", + "D": "UAV2 displays more traffic lights than UAV1" + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/25-00000370-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/25-00000370-UAV2.jpg" + } + }, + { + "sequence_frame": "25-00000493", + "question_id": "MDMT_WH_UAV1_096", + "question_type": "Who to Collaborate", + "question": "Which UAV should UAV1 collaborate with for collaboration partner for specific object data?", + "options": { + "A": "None", + "B": "UAV1", + "C": "A ground-based sensor", + "D": "UAV1" + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/25-00000493-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/25-00000493-UAV2.jpg" + } + }, + { + "sequence_frame": "63-00000420", + "question_id": "MDMT_OB_UAV2_097", + "question_type": "Object Recognition", + "question": "What type of non-vehicle object is most prominently visible near the center-right of the image?", + "options": { + "A": "A pedestrian", + "B": "A cyclist", + "C": "A streetlight", + "D": "A traffic sign" + }, + "correct_answer": "C", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/63-00000420-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/63-00000420-UAV2.jpg" + } + }, + { + "sequence_frame": "53-00000680", + "question_id": "MDMT_WH_UAV1_098", + "question_type": "What to Collaborate", + "question": "What specific object information should UAV1 share with UAV2 to improve perception?", + "options": { + "A": "Details of the red car's position and movement", + "B": "Details of the large truck carrying a load", + "C": "Details of the road's lane markings", + "D": "Details of the surrounding greenery" + }, + "correct_answer": "B", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/53-00000680-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/53-00000680-UAV2.jpg" + } + }, + { + "sequence_frame": "28-00000045", + "question_id": "MDMT_OB_UAV1_099", + "question_type": "Object Counting", + "question": "Based on the image analysis, how many targets (vehicles, pedestrians, bicycles) can be observed in UAV1's perspective?", + "options": { + "A": "35", + "B": "33", + "C": "30", + "D": "36" + }, + "correct_answer": "B", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/28-00000045-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/28-00000045-UAV2.jpg" + } + }, + { + "sequence_frame": "30-00000112", + "question_id": "MDMT_OB_UNKNOWN_100", + "question_type": "Object Matching", + "question": "Which object in UAV2 corresponds to the pedestrian crossing the road near the center of UAV1's view?", + "options": { + "A": "The pedestrian now walking along the sidewalk in UAV2", + "B": "The cyclist riding near the road edge in UAV2", + "C": "The pedestrian standing near a parked car in UAV2", + "D": "The pedestrian crossing the road near a traffic light in UAV2" + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/30-00000112-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/30-00000112-UAV2.jpg" + } + }, + { + "sequence_frame": "27-00000512", + "question_id": "MDMT_WH_UAV2_101", + "question_type": "What to Collaborate", + "question": "What specific information should UAV2 share with UAV1 to enhance the understanding of traffic flow?", + "options": { + "A": "Details of the residential buildings near the road", + "B": "Presence and movement of vehicles approaching from the far end of the road", + "C": "The condition of the trees along the roadside", + "D": "The color and type of vehicles currently on the road" + }, + "correct_answer": "B", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/27-00000512-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/27-00000512-UAV2.jpg" + } + }, + { + "sequence_frame": "23-00000079", + "question_id": "MDMT_SC_UAV2_102", + "question_type": "Scene Description", + "question": "How do the vehicles and pedestrians interact in this scene?", + "options": { + "A": "Vehicles are stopped to allow pedestrians to cross the road", + "B": "Pedestrians are walking alongside moving vehicles on the sidewalk", + "C": "Pedestrians are crossing between lanes of moving traffic", + "D": "There is no interaction; vehicles and pedestrians are in separate areas" + }, + "correct_answer": "D", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/23-00000079-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/23-00000079-UAV2.jpg" + } + }, + { + "sequence_frame": "69-00000137", + "question_id": "MDMT_OB_UAV2_103", + "question_type": "Object Grounding", + "question": "Where is the first green car located relative to the pedestrian crossing?", + "options": { + "A": "The white car is approaching the pedestrian crossing from the north", + "B": "The white car is stationary at the pedestrian crossing", + "C": "The white car is moving away from the pedestrian crossing towards the south", + "D": "The white car is parked on the side of the road near the pedestrian crossing" + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/69-00000137-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/69-00000137-UAV2.jpg" + } + }, + { + "sequence_frame": "25-00000125", + "question_id": "MDMT_OB_UAV2_104", + "question_type": "Object Recognition", + "question": "What type of non-vehicle object is prominently visible in the landscaped area?", + "options": { + "A": "A pedestrian pathway", + "B": "A cyclist lane", + "C": "A water fountain", + "D": "A sports field" + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/25-00000125-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/25-00000125-UAV2.jpg" + } + }, + { + "sequence_frame": "58-00000255", + "question_id": "MDMT_OB_UNKNOWN_105", + "question_type": "Observing Posture", + "question": "Which UAV perspective better illustrates the orientation of the road's lane markings relative to the observer?", + "options": { + "A": "UAV1, as it provides a direct top-down view emphasizing lane alignment", + "B": "UAV2, as it offers a diagonal view highlighting lane directionality", + "C": "Both perspectives equally illustrate lane orientation", + "D": "Neither perspective clearly shows lane orientation" + }, + "correct_answer": "C", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/58-00000255-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/58-00000255-UAV2.jpg" + } + }, + { + "sequence_frame": "23-00000022", + "question_id": "MDMT_SC_UAV1_106", + "question_type": "Scene Description", + "question": "How do the vehicles on the road interact with the pedestrian on the sidewalk in this scene?", + "options": { + "A": "Vehicles are stopped to allow the pedestrian to cross the road", + "B": "Vehicles are moving away from the pedestrian, showing no interaction", + "C": "Vehicles are approaching the pedestrian, indicating potential interaction", + "D": "Vehicles are parked, and the pedestrian is walking parallel to them on the sidewalk" + }, + "correct_answer": "D", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/23-00000022-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/23-00000022-UAV2.jpg" + } + }, + { + "sequence_frame": "44-00000480", + "question_id": "MDMT_US_UAV2_107", + "question_type": "Usability Assessment", + "question": "Is the image captured by UAV2 usable for target perception tasks?", + "options": { + "A": "Yes, partially usable", + "B": "Yes, usable", + "C": "Yes, barely usable", + "D": "Yes, highly usable" + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/44-00000480-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/44-00000480-UAV2.jpg" + } + }, + { + "sequence_frame": "29-00000100", + "question_id": "MDMT_CA_UAV2_108", + "question_type": "Causal Assessment", + "question": "What is the primary cause of reduced visibility for smaller objects in this image?", + "options": { + "A": "High levels of image noise", + "B": "Occlusion by larger vehicles", + "C": "Low resolution affecting detail perception", + "D": "Overexposure from bright lighting" + }, + "correct_answer": "C", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/29-00000100-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/29-00000100-UAV2.jpg" + } + }, + { + "sequence_frame": "MDMT_when2col_UAV2_100", + "question_id": "MDMT_WH_UAV2_109", + "question_type": "When to Collaborate", + "question": "Should UAV2 collaborate with another UAV to address need for collaboration due to incomplete information?", + "options": { + "A": "Yes, due to partial occlusion of key objects", + "B": "No, the scene is fully visible", + "C": "Yes, due to poor visibility of the objects", + "D": "No, all objects are clearly captured" + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/39-00000680-UAV1-noise.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/39-00000680-UAV2-noise.jpg" + } + }, + { + "sequence_frame": "70-00000248", + "question_id": "MDMT_OB_UAV1_110", + "question_type": "Object Recognition", + "question": "Which type of vehicle is distinctly visible in the center lane of the road?", + "options": { + "A": "A blue sedan", + "B": "A red truck", + "C": "A green bus", + "D": "A white van" + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/70-00000248-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/70-00000248-UAV2.jpg" + } + }, + { + "sequence_frame": "23-00000319", + "question_id": "MDMT_OB_UNKNOWN_111", + "question_type": "Object Matching", + "question": "Which object in UAV2 corresponds to the red vehicle moving along the right lane in UAV1?", + "options": { + "A": "The red vehicle now stationary near a tree in UAV2", + "B": "The red vehicle now positioned at the center of the road in UAV2", + "C": "The red vehicle now parked in the designated parking area in UAV2", + "D": "The red vehicle now stopped at an intersection in UAV2" + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/23-00000319-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/23-00000319-UAV2.jpg" + } + }, + { + "sequence_frame": "45-00000112", + "question_id": "MDMT_WH_UAV2_112", + "question_type": "Why to Collaborate", + "question": "Why should UAV2 collaborate with another UAV?", + "options": { + "A": "To overcome object occlusion and provide a complete view of the scene", + "B": "To enhance the visibility of objects that are under shadow in the current view", + "C": "To capture targets that are too small or distant in the current perspective", + "D": "To ensure all areas are covered, including those out of the current field of view" + }, + "correct_answer": "C", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/45-00000112-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/45-00000112-UAV2.jpg" + } + }, + { + "sequence_frame": "76-00000420", + "question_id": "MDMT_SC_UNKNOWN_113", + "question_type": "Scene Comparison", + "question": "What is the primary difference in the types of vehicles visible between UAV1 and UAV2?", + "options": { + "A": "UAV1 shows more buses, while UAV2 shows more cars", + "B": "UAV1 shows a mix of cars and trucks, while UAV2 includes buses", + "C": "UAV1 shows only cars, while UAV2 shows bicycles", + "D": "UAV1 shows more motorcycles, while UAV2 shows fewer vehicles overall" + }, + "correct_answer": "B", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/76-00000420-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/76-00000420-UAV2.jpg" + } + }, + { + "sequence_frame": "51-00000280", + "question_id": "MDMT_OB_UAV1_114", + "question_type": "Object Recognition", + "question": "What type of road marking is prominently visible in the lower left corner of the image?", + "options": { + "A": "A pedestrian crossing", + "B": "A speed bump", + "C": "A lane divider", + "D": "A stop line" + }, + "correct_answer": "C", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/51-00000280-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/51-00000280-UAV2.jpg" + } + }, + { + "sequence_frame": "32-00000676", + "question_id": "MDMT_WH_UAV1_115", + "question_type": "When to Collaborate", + "question": "Should UAV1 collaborate with another UAV to address need for collaboration due to environmental factors?", + "options": { + "A": "Yes, due to poor lighting conditions", + "B": "No, lighting is adequate", + "C": "Yes, due to low image resolution", + "D": "No, the environment is clear" + }, + "correct_answer": "C", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/32-00000676-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/32-00000676-UAV2.jpg" + } + }, + { + "sequence_frame": "32-00000700", + "question_id": "MDMT_OB_UAV2_116", + "question_type": "Object Counting", + "question": "Based on the image analysis, how many targets (vehicles, pedestrians, bicycles) can be observed in UAV2's perspective?", + "options": { + "A": "102", + "B": "98", + "C": "100", + "D": "99" + }, + "correct_answer": "C", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/32-00000700-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/32-00000700-UAV2.jpg" + } + }, + { + "sequence_frame": "39-00000603", + "question_id": "MDMT_OB_UAV1_117", + "question_type": "Object Recognition", + "question": "Which type of vehicle is prominently visible on the right side of the road in this nighttime scene?", + "options": { + "A": "A motorcycle", + "B": "A bicycle", + "C": "A sedan", + "D": "A truck" + }, + "correct_answer": "C", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/39-00000603-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/39-00000603-UAV2.jpg" + } + }, + { + "sequence_frame": "64-00000575", + "question_id": "MDMT_US_UAV1_118", + "question_type": "Usability Assessment", + "question": "Is the image captured by UAV1 usable for target perception tasks?", + "options": { + "A": "No, not usable", + "B": "Yes, barely usable", + "C": "Yes, usable", + "D": "Yes, partially usable" + }, + "correct_answer": "C", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/64-00000575-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/64-00000575-UAV2.jpg" + } + }, + { + "sequence_frame": "44-00000220", + "question_id": "MDMT_OB_UAV1_119", + "question_type": "Object Counting", + "question": "Based on the image analysis, how many targets (vehicles, pedestrians, bicycles) can be observed in UAV1's perspective?", + "options": { + "A": "40", + "B": "42", + "C": "38", + "D": "39" + }, + "correct_answer": "D", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/44-00000220-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/44-00000220-UAV2.jpg" + } + }, + { + "sequence_frame": "MDMT_who2col_UAV1_96", + "question_id": "MDMT_WH_UAV1_120", + "question_type": "Who to Collaborate", + "question": "Which UAV should UAV1 collaborate with for collaboration partner for specific object data?", + "options": { + "A": "UAV2", + "B": "None (no need for collaboration)", + "C": "A ground-based sensor", + "D": "None (no suitable collaboration partner)" + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/39-00000680-UAV1-noise.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/39-00000680-UAV2-noise.jpg" + } + }, + { + "sequence_frame": "27-00000618", + "question_id": "MDMT_OB_UAV2_121", + "question_type": "Object Recognition", + "question": "Which type of vehicle is predominantly seen parked along the roadside in this aerial view?", + "options": { + "A": "SUVs", + "B": "Compact cars", + "C": "Trucks", + "D": "Buses" + }, + "correct_answer": "B", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/27-00000618-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/27-00000618-UAV2.jpg" + } + }, + { + "sequence_frame": "69-00000550", + "question_id": "MDMT_WH_UAV2_122", + "question_type": "Why to Collaborate", + "question": "Why should UAV2 collaborate with another UAV?", + "options": { + "A": "To overcome object occlusion and provide a complete view.", + "B": "To enhance the visibility of objects under shadow conditions.", + "C": "To capture targets that are too small or distant in the current view.", + "D": "To fill in information gaps due to out-of-view targets." + }, + "correct_answer": "C", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/69-00000550-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/69-00000550-UAV2.jpg" + } + }, + { + "sequence_frame": "50-00000300", + "question_id": "MDMT_OB_UAV1_123", + "question_type": "Object Grounding", + "question": "Which vehicle is positioned in the lane directly adjacent to the large truck carrying logs?", + "options": { + "A": "The red car on the far left", + "B": "The white car immediately to the right of the truck", + "C": "The dark-colored car behind the truck", + "D": "The white car in front of the truck" + }, + "correct_answer": "B", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/50-00000300-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/50-00000300-UAV2.jpg" + } + }, + { + "sequence_frame": "39-00000325", + "question_id": "MDMT_WH_UAV1_124", + "question_type": "Why to Collaborate", + "question": "Why should UAV1 collaborate with another UAV?", + "options": { + "A": "To overcome object occlusion and gain a complete view of the scene", + "B": "To enhance image brightness and improve target visibility", + "C": "To capture targets that are out of its current field of view", + "D": "To provide a closer perspective on distant objects" + }, + "correct_answer": "B", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/39-00000325-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/39-00000325-UAV2.jpg" + } + }, + { + "sequence_frame": "64-00000620", + "question_id": "MDMT_US_UAV1_125", + "question_type": "Usability Assessment", + "question": "Is the image captured by UAV1 usable for target perception tasks?", + "options": { + "A": "Yes, partially usable", + "B": "No, not usable", + "C": "Yes, barely usable", + "D": "Yes, usable" + }, + "correct_answer": "D", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/64-00000620-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/64-00000620-UAV2.jpg" + } + }, + { + "sequence_frame": "29-00000100", + "question_id": "MDMT_WH_UAV2_126", + "question_type": "What to Collaborate", + "question": "What specific scene context information should UAV2 share with UAV1 to enhance traffic flow understanding?", + "options": { + "A": "Details of the parked cars along the side of the road", + "B": "Movement patterns of vehicles in the opposite direction", + "C": "Presence and movement of pedestrians on the sidewalks", + "D": "Condition of the road surface and lane markings" + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/29-00000100-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/29-00000100-UAV2.jpg" + } + }, + { + "sequence_frame": "23-00000319", + "question_id": "MDMT_OB_UNKNOWN_127", + "question_type": "Observing Posture", + "question": "Which UAV perspective better illustrates the relative positioning of the parked cars to the road's centerline?", + "options": { + "A": "UAV1, as it shows a side view that clearly aligns cars with the road's edge", + "B": "UAV2, as it provides an overhead view that directly shows car positions relative to the centerline", + "C": "Both perspectives equally illustrate the cars' positioning", + "D": "Neither perspective adequately shows the cars' relative positioning" + }, + "correct_answer": "C", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/23-00000319-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/23-00000319-UAV2.jpg" + } + }, + { + "sequence_frame": "MDMT_why2col_UAV1_11", + "question_id": "MDMT_WH_UAV1_128", + "question_type": "Why to Collaborate", + "question": "Why should UAV1 collaborate with another UAV?", + "options": { + "A": "To enhance the visibility of distant or small targets that are not clearly visible in its current perspective.", + "B": "To capture a wider area and provide a more comprehensive view of the environment.", + "C": "To adjust for differences in weather conditions affecting image clarity.", + "D": "To overcome partial occlusion caused by objects in the foreground." + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/23-00000037-UAV1-noise.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/23-00000037-UAV2-noise.jpg" + } + }, + { + "sequence_frame": "27-00000664", + "question_id": "MDMT_US_UAV2_129", + "question_type": "Usability Assessment", + "question": "Is the image captured by UAV2 usable for target perception tasks?", + "options": { + "A": "Yes, highly usable", + "B": "Yes, usable", + "C": "Yes, barely usable", + "D": "No, not usable" + }, + "correct_answer": "B", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/27-00000664-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/27-00000664-UAV2.jpg" + } + }, + { + "sequence_frame": "39-00000366", + "question_id": "MDMT_OB_UAV1_130", + "question_type": "Object Recognition", + "question": "Which non-vehicle object is most prominently visible in this nighttime scene?", + "options": { + "A": "A cyclist", + "B": "A pedestrian", + "C": "A skateboarder", + "D": "A runner" + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/39-00000366-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/39-00000366-UAV2.jpg" + } + }, + { + "sequence_frame": "32-00000690", + "question_id": "MDMT_SC_UAV1_131", + "question_type": "Scene Description", + "question": "How do the vehicles and pedestrians interact in this scene?", + "options": { + "A": "Vehicles are driving while avoiding pedestrians crossing the road", + "B": "Pedestrians are walking along the sidewalks, separate from the moving vehicles", + "C": "Vehicles and pedestrians are mixed, with no clear separation", + "D": "Pedestrians are crossing at designated crosswalks, stopping vehicle traffic" + }, + "correct_answer": "B", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/32-00000690-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/32-00000690-UAV2.jpg" + } + }, + { + "sequence_frame": "66-00000600", + "question_id": "MDMT_QU_UAV2_132", + "question_type": "Quality Assessment", + "question": "What is the perception quality assessment score (1-5) for the image captured by UAV2?", + "options": { + "A": "5", + "B": "4", + "C": "1", + "D": "3" + }, + "correct_answer": "B", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/66-00000600-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/66-00000600-UAV2.jpg" + } + }, + { + "sequence_frame": "25-00000289", + "question_id": "MDMT_OB_UAV2_133", + "question_type": "Object Counting", + "question": "Based on the image analysis, how many targets (vehicles, pedestrians, bicycles) can be observed in UAV2's perspective?", + "options": { + "A": "24", + "B": "30", + "C": "26", + "D": "27" + }, + "correct_answer": "D", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/25-00000289-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/25-00000289-UAV2.jpg" + } + }, + { + "sequence_frame": "51-00000544", + "question_id": "MDMT_SC_UNKNOWN_134", + "question_type": "Scene Comparison", + "question": "What is a notable difference in the types of vehicles visible between UAV1 and UAV2?", + "options": { + "A": "UAV1 shows more buses, while UAV2 shows more trucks", + "B": "UAV1 includes a motorcycle, which is absent in UAV2", + "C": "UAV2 includes a fire truck, which is not present in UAV1", + "D": "UAV2 shows more construction-related vehicles compared to UAV1" + }, + "correct_answer": "D", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/51-00000544-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/51-00000544-UAV2.jpg" + } + }, + { + "sequence_frame": "69-00000137", + "question_id": "MDMT_CA_UAV2_135", + "question_type": "Causal Assessment", + "question": "What main factor might affect object detection in this scene?", + "options": { + "A": "Low contrast due to uniform lighting", + "B": "Partial occlusion by pedestrians", + "C": "Small object size relative to image scale", + "D": "High noise from long-distance capture" + }, + "correct_answer": "C", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/69-00000137-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/69-00000137-UAV2.jpg" + } + }, + { + "sequence_frame": "53-00000680", + "question_id": "MDMT_OB_UNKNOWN_136", + "question_type": "Observing Posture", + "question": "Which UAV perspective better illustrates the relative orientation of vehicles to the road's central divider?", + "options": { + "A": "UAV1, as it provides a direct top-down view emphasizing vehicle alignment", + "B": "UAV2, as it offers a diagonal view highlighting vehicle directionality", + "C": "Both perspectives equally illustrate vehicle orientation", + "D": "Neither perspective adequately shows vehicle orientation" + }, + "correct_answer": "C", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/53-00000680-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/53-00000680-UAV2.jpg" + } + }, + { + "sequence_frame": "70-00000100", + "question_id": "MDMT_SC_UAV2_137", + "question_type": "Scene Description", + "question": "How do the vehicles and pedestrians interact at the crosswalk in this scene?", + "options": { + "A": "Vehicles are stopped, allowing pedestrians to cross safely", + "B": "Pedestrians are waiting while vehicles continue to pass through", + "C": "There is no crosswalk present in the scene", + "D": "Vehicles and pedestrians are moving simultaneously without interference" + }, + "correct_answer": "C", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/70-00000100-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/70-00000100-UAV2.jpg" + } + }, + { + "sequence_frame": "MDMT_when2col_UAV1_2", + "question_id": "MDMT_WH_UAV1_138", + "question_type": "When to Collaborate", + "question": "Should UAV1 collaborate with another UAV to address need for collaboration due to incomplete information?", + "options": { + "A": "Yes, due to partial occlusion of key objects", + "B": "No, the scene is fully visible", + "C": "Yes, due to poor visibility of the objects", + "D": "No, all objects are clearly captured" + }, + "correct_answer": "C", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/23-00000004-UAV1-loss.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/23-00000004-UAV2-loss.jpg" + } + }, + { + "sequence_frame": "51-00000544", + "question_id": "MDMT_WH_UAV2_139", + "question_type": "When to Collaborate", + "question": "Should UAV2 collaborate with another UAV to address need for collaboration due to incomplete information?", + "options": { + "A": "Yes, due to partial occlusion of key objects", + "B": "No, the scene is fully visible", + "C": "Yes, due to poor visibility of the objects", + "D": "No, all objects are clearly captured" + }, + "correct_answer": "C", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/51-00000544-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/51-00000544-UAV2.jpg" + } + }, + { + "sequence_frame": "30-00000199", + "question_id": "MDMT_QU_UAV2_140", + "question_type": "Quality Assessment", + "question": "What is the perception quality assessment score (1-5) for the image captured by UAV2?", + "options": { + "A": "4", + "B": "3", + "C": "5", + "D": "1" + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/30-00000199-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/30-00000199-UAV2.jpg" + } + }, + { + "sequence_frame": "70-00000336", + "question_id": "MDMT_OB_UNKNOWN_141", + "question_type": "Object Matching", + "question": "Which object in UAV2 corresponds to the black car turning right at the intersection in UAV1?", + "options": { + "A": "The black car now seen driving straight on the main road in UAV2", + "B": "The black car now parked in a lot near the buildings in UAV2", + "C": "The black car now seen approaching an intersection from a side street in UAV2", + "D": "The black car now seen exiting a parking area onto the main road in UAV2" + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/70-00000336-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/70-00000336-UAV2.jpg" + } + }, + { + "sequence_frame": "65-00000500", + "question_id": "MDMT_OB_UAV1_142", + "question_type": "Object Counting", + "question": "Based on the image analysis, how many targets (vehicles, pedestrians, bicycles) can be observed in UAV1's perspective?", + "options": { + "A": "65", + "B": "63", + "C": "67", + "D": "64" + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/65-00000500-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/65-00000500-UAV2.jpg" + } + }, + { + "sequence_frame": "45-00000112", + "question_id": "MDMT_WH_UAV2_143", + "question_type": "What to Collaborate", + "question": "What specific object information should UAV2 share with UAV1 to improve perception?", + "options": { + "A": "Details of the pedestrians near the bottom left corner", + "B": "Details of the vehicles on the far right side of the road", + "C": "Details of the traffic light status at the top left corner", + "D": "Details of the trees and greenery along the sides" + }, + "correct_answer": "B", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/45-00000112-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/45-00000112-UAV2.jpg" + } + }, + { + "sequence_frame": "44-00000340", + "question_id": "MDMT_OB_UAV1_144", + "question_type": "Object Grounding", + "question": "Which area is directly adjacent to the parking lot with the most cars?", + "options": { + "A": "The large tree cluster on the right side", + "B": "The pedestrian walkway in the center", + "C": "The building with a red roof on the left", + "D": "The road at the bottom of the image" + }, + "correct_answer": "B", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/44-00000340-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/44-00000340-UAV2.jpg" + } + }, + { + "sequence_frame": "44-00000150", + "question_id": "MDMT_SC_UAV1_145", + "question_type": "Scene Description", + "question": "How do the pedestrians interact with the parked vehicles in this scene?", + "options": { + "A": "Pedestrians are walking between the rows of parked vehicles", + "B": "Pedestrians are standing next to their vehicles, possibly loading or unloading", + "C": "Pedestrians are walking along the perimeter outside the parking area", + "D": "Pedestrians are running across the parking lot without any specific pattern" + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/44-00000150-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/44-00000150-UAV2.jpg" + } + }, + { + "sequence_frame": "58-00000285", + "question_id": "MDMT_WH_UAV1_146", + "question_type": "Why to Collaborate", + "question": "Why should UAV1 collaborate with another UAV?", + "options": { + "A": "To overcome object occlusion and gain a complete view of the scene", + "B": "To enhance image brightness and improve target visibility", + "C": "To capture targets that are out of its current field of view", + "D": "To provide a redundant perspective for confirmation" + }, + "correct_answer": "B", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/58-00000285-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/58-00000285-UAV2.jpg" + } + }, + { + "sequence_frame": "74-00000680", + "question_id": "MDMT_US_UAV1_147", + "question_type": "Usability Assessment", + "question": "Is the image captured by UAV1 usable for target perception tasks?", + "options": { + "A": "Yes, partially usable", + "B": "Yes, highly usable", + "C": "Yes, usable", + "D": "No, not usable" + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/74-00000680-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/74-00000680-UAV2.jpg" + } + }, + { + "sequence_frame": "23-00000423", + "question_id": "MDMT_WH_UAV2_148", + "question_type": "Who to Collaborate", + "question": "Which UAV should UAV2 collaborate with for collaboration partner for complementary perspective?", + "options": { + "A": "None", + "B": "UAV1", + "C": "A ground-based sensor", + "D": "UAV1" + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/23-00000423-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/23-00000423-UAV2.jpg" + } + }, + { + "sequence_frame": "25-00000340", + "question_id": "MDMT_WH_UAV2_149", + "question_type": "Why to Collaborate", + "question": "Why should UAV2 collaborate with another UAV?", + "options": { + "A": "To enhance the visibility of distant or small objects that appear unclear in the current view", + "B": "To reduce the impact of noise interference present in the current image", + "C": "To provide a complete view by overcoming object occlusion issues", + "D": "To capture a broader area for comprehensive scene understanding" + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/25-00000340-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/25-00000340-UAV2.jpg" + } + }, + { + "sequence_frame": "23-00000008", + "question_id": "MDMT_CA_UAV2_150", + "question_type": "Causal Assessment", + "question": "What main factor might affect object detection in this scene?", + "options": { + "A": "Low contrast due to uniform lighting", + "B": "Occlusion by trees and streetlights", + "C": "Motion blur from fast-moving vehicles", + "D": "High noise levels from image capture" + }, + "correct_answer": "B", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/23-00000008-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/23-00000008-UAV2.jpg" + } + }, + { + "sequence_frame": "58-00000080", + "question_id": "MDMT_OB_UAV2_151", + "question_type": "Object Counting", + "question": "Based on the image analysis, how many targets (vehicles, pedestrians, bicycles) can be observed in UAV2's perspective?", + "options": { + "A": "22", + "B": "18", + "C": "21", + "D": "23" + }, + "correct_answer": "C", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/58-00000080-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/58-00000080-UAV2.jpg" + } + }, + { + "sequence_frame": "42-00000070", + "question_id": "MDMT_QU_UAV2_152", + "question_type": "Quality Assessment", + "question": "What is the perception quality assessment score (1-5) for the image captured by UAV2?", + "options": { + "A": "5", + "B": "1", + "C": "3", + "D": "4" + }, + "correct_answer": "D", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/42-00000070-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/42-00000070-UAV2.jpg" + } + }, + { + "sequence_frame": "42-00000260", + "question_id": "MDMT_CA_UAV2_153", + "question_type": "Causal Assessment", + "question": "What is the primary cause of reduced visibility for smaller objects in this image?", + "options": { + "A": "Low resolution due to camera settings", + "B": "Occlusion by larger vehicles", + "C": "Motion blur from fast-moving objects", + "D": "Overexposure due to bright sunlight" + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/42-00000260-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/42-00000260-UAV2.jpg" + } + }, + { + "sequence_frame": "51-00000455", + "question_id": "MDMT_OB_UAV1_154", + "question_type": "Object Grounding", + "question": "Which vehicle is positioned in the lane directly adjacent to the yellow bus and moving in the same direction?", + "options": { + "A": "A black car carrying passengers", + "B": "A white car with a sunroof", + "C": "A red truck transporting goods", + "D": "A silver sedan with tinted windows" + }, + "correct_answer": "B", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/51-00000455-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/51-00000455-UAV2.jpg" + } + }, + { + "sequence_frame": "50-00000475", + "question_id": "MDMT_US_UAV2_155", + "question_type": "Usability Assessment", + "question": "Is the image captured by UAV2 usable for target perception tasks?", + "options": { + "A": "Yes, usable", + "B": "Yes, highly usable", + "C": "Yes, partially usable", + "D": "Yes, barely usable" + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/50-00000475-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/50-00000475-UAV2.jpg" + } + }, + { + "sequence_frame": "23-00000319", + "question_id": "MDMT_WH_UAV2_156", + "question_type": "When to Collaborate", + "question": "Should UAV2 collaborate with another UAV to address need for collaboration due to environmental factors?", + "options": { + "A": "Yes, due to poor lighting conditions", + "B": "No, lighting is adequate", + "C": "Yes, due to low image resolution", + "D": "No, the environment is clear" + }, + "correct_answer": "C", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/23-00000319-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/23-00000319-UAV2.jpg" + } + }, + { + "sequence_frame": "66-00000600", + "question_id": "MDMT_US_UAV2_157", + "question_type": "Usability Assessment", + "question": "Is the image captured by UAV2 usable for target perception tasks?", + "options": { + "A": "Yes, usable", + "B": "Yes, highly usable", + "C": "Yes, barely usable", + "D": "Yes, partially usable" + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/66-00000600-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/66-00000600-UAV2.jpg" + } + }, + { + "sequence_frame": "45-00000250", + "question_id": "MDMT_CA_UAV1_158", + "question_type": "Causal Assessment", + "question": "What is the primary cause of reduced perception quality in this image?", + "options": { + "A": "Overexposure due to bright sunlight", + "B": "Occlusion by large buildings", + "C": "Motion blur from fast-moving vehicles", + "D": "Low resolution due to distant observation" + }, + "correct_answer": "D", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/45-00000250-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/45-00000250-UAV2.jpg" + } + }, + { + "sequence_frame": "30-00000112", + "question_id": "MDMT_SC_UAV2_159", + "question_type": "Scene Description", + "question": "How do the vehicles on the road interact with the surrounding pedestrian areas in this scene?", + "options": { + "A": "Vehicles are stopped near pedestrian areas, facilitating access", + "B": "Vehicles are moving away from pedestrian areas, minimizing interaction", + "C": "Vehicles are parked along the road, blocking pedestrian pathways", + "D": "Vehicles are driving through pedestrian areas, creating potential hazards" + }, + "correct_answer": "C", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/30-00000112-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/30-00000112-UAV2.jpg" + } + }, + { + "sequence_frame": "MDMT_QA_UAV2_187", + "question_id": "MDMT_QU_UAV2_160", + "question_type": "Quality Assessment", + "question": "What is the perception quality assessment score (1-5) for the image captured by UAV2?", + "options": { + "A": "5", + "B": "2", + "C": "3", + "D": "1" + }, + "correct_answer": "B", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/39-00000667-UAV1-noise.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/39-00000667-UAV2-noise.jpg" + } + }, + { + "sequence_frame": "51-00000280", + "question_id": "MDMT_WH_UAV2_161", + "question_type": "What to Collaborate", + "question": "What specific information should UAV2 share with UAV1 to enhance the understanding of traffic flow?", + "options": { + "A": "Details of the pedestrian movements on the sidewalks", + "B": "Real-time updates on vehicle speeds in the central lanes", + "C": "Information about the road surface conditions", + "D": "Visibility of distant vehicles approaching the intersection" + }, + "correct_answer": "D", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/51-00000280-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/51-00000280-UAV2.jpg" + } + }, + { + "sequence_frame": "23-00000073", + "question_id": "MDMT_OB_UAV1_162", + "question_type": "Object Grounding", + "question": "Where is the red car located relative to the white van in the same lane?", + "options": { + "A": "The red car is directly behind the white van", + "B": "The red car is ahead of the white van in the opposite direction", + "C": "The red car is in a parallel lane to the white van", + "D": "The red car is parked on the side of the road near the white van" + }, + "correct_answer": "C", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/23-00000073-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/23-00000073-UAV2.jpg" + } + }, + { + "sequence_frame": "50-00000530", + "question_id": "MDMT_OB_UNKNOWN_163", + "question_type": "Observing Posture", + "question": "Which UAV perspective better illustrates the orientation of the central truck relative to the road lanes?", + "options": { + "A": "UAV1 provides a clearer orientation due to its direct overhead view", + "B": "UAV2 provides a clearer orientation due to its angled side view", + "C": "Both perspectives show the same level of orientation clarity", + "D": "Neither perspective clearly shows the truck's orientation" + }, + "correct_answer": "C", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/50-00000530-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/50-00000530-UAV2.jpg" + } + }, + { + "sequence_frame": "27-00000573", + "question_id": "MDMT_US_UAV2_164", + "question_type": "Usability Assessment", + "question": "Is the image captured by UAV2 usable for target perception tasks?", + "options": { + "A": "Yes, usable", + "B": "Yes, barely usable", + "C": "Yes, highly usable", + "D": "No, not usable" + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/27-00000573-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/27-00000573-UAV2.jpg" + } + }, + { + "sequence_frame": "63-00000118", + "question_id": "MDMT_QU_UAV2_165", + "question_type": "Quality Assessment", + "question": "What is the perception quality assessment score (1-5) for the image captured by UAV2?", + "options": { + "A": "4", + "B": "3", + "C": "2", + "D": "5" + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/63-00000118-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/63-00000118-UAV2.jpg" + } + }, + { + "sequence_frame": "23-00000046", + "question_id": "MDMT_WH_UAV2_166", + "question_type": "When to Collaborate", + "question": "Should UAV2 collaborate with another UAV to address need for collaboration due to incomplete information?", + "options": { + "A": "Yes, due to partial occlusion of key objects", + "B": "No, the scene is fully visible", + "C": "Yes, due to poor visibility of the objects", + "D": "No, all objects are clearly captured" + }, + "correct_answer": "C", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/23-00000046-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/23-00000046-UAV2.jpg" + } + }, + { + "sequence_frame": "MDMT_who2col_UAV2_97", + "question_id": "MDMT_WH_UAV2_167", + "question_type": "Who to Collaborate", + "question": "Which UAV should UAV2 collaborate with for collaboration partner for specific object data?", + "options": { + "A": "UAV1", + "B": "None (no need for collaboration)", + "C": "A ground-based sensor", + "D": "None (no suitable collaboration partner)" + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/39-00000700-UAV1-loss.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/39-00000700-UAV2-loss.jpg" + } + }, + { + "sequence_frame": "25-00000075", + "question_id": "MDMT_WH_UAV1_168", + "question_type": "What to Collaborate", + "question": "What specific scene context information should UAV1 share with UAV2 to enhance overall traffic monitoring?", + "options": { + "A": "Details of the building structures near the road", + "B": "Presence and movement of vehicles on the left side of the road", + "C": "The condition of the roadside greenery and pathways", + "D": "The status of the sports field adjacent to the road" + }, + "correct_answer": "B", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/25-00000075-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/25-00000075-UAV2.jpg" + } + }, + { + "sequence_frame": "50-00000530", + "question_id": "MDMT_OB_UAV2_169", + "question_type": "Object Counting", + "question": "Based on the image analysis, how many targets (vehicles, pedestrians, bicycles) can be observed in UAV2's perspective?", + "options": { + "A": "180", + "B": "184", + "C": "181", + "D": "178" + }, + "correct_answer": "C", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/50-00000530-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/50-00000530-UAV2.jpg" + } + }, + { + "sequence_frame": "45-00000010", + "question_id": "MDMT_CA_UAV2_170", + "question_type": "Causal Assessment", + "question": "What main factor might affect object detection in this scene?", + "options": { + "A": "Low contrast due to similar colors of vehicles and road", + "B": "High noise from image compression artifacts", + "C": "Partial occlusion by pedestrians at crosswalks", + "D": "Motion blur from fast-moving vehicles" + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/45-00000010-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/45-00000010-UAV2.jpg" + } + }, + { + "sequence_frame": "MDMT_who2col_UAV1_2", + "question_id": "MDMT_WH_UAV1_171", + "question_type": "Who to Collaborate", + "question": "Which UAV should UAV1 collaborate with for collaboration partner for specific object data?", + "options": { + "A": "UAV2", + "B": "None (no need for collaboration)", + "C": "A ground-based sensor", + "D": "None (no suitable collaboration partner)" + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/23-00000004-UAV1-loss.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/23-00000004-UAV2-loss.jpg" + } + }, + { + "sequence_frame": "45-00000318", + "question_id": "MDMT_QU_UAV1_172", + "question_type": "Quality Assessment", + "question": "What is the perception quality assessment score (1-5) for the image captured by UAV1?", + "options": { + "A": "2", + "B": "1", + "C": "3", + "D": "4" + }, + "correct_answer": "C", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/45-00000318-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/45-00000318-UAV2.jpg" + } + }, + { + "sequence_frame": "74-00000680", + "question_id": "MDMT_OB_UAV2_173", + "question_type": "Object Counting", + "question": "Based on the image analysis, how many targets (vehicles, pedestrians, bicycles) can be observed in UAV2's perspective?", + "options": { + "A": "70", + "B": "74", + "C": "71", + "D": "68" + }, + "correct_answer": "C", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/74-00000680-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/74-00000680-UAV2.jpg" + } + }, + { + "sequence_frame": "25-00000125", + "question_id": "MDMT_OB_UNKNOWN_174", + "question_type": "Object Matching", + "question": "Which object in UAV2 corresponds to the small white building near the road in UAV1?", + "options": { + "A": "The large building with many windows near the road in UAV2", + "B": "The small white structure now located closer to the trees in UAV2", + "C": "The red-roofed building near the central pathway in UAV2", + "D": "The green shed near the parking area in UAV2" + }, + "correct_answer": "B", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/25-00000125-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/25-00000125-UAV2.jpg" + } + }, + { + "sequence_frame": "65-00000700", + "question_id": "MDMT_QU_UAV2_175", + "question_type": "Quality Assessment", + "question": "What is the perception quality assessment score (1-5) for the image captured by UAV2?", + "options": { + "A": "1", + "B": "5", + "C": "3", + "D": "4" + }, + "correct_answer": "D", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/65-00000700-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/65-00000700-UAV2.jpg" + } + }, + { + "sequence_frame": "MDMT_OP_17", + "question_id": "MDMT_OB_UNKNOWN_176", + "question_type": "Observing Posture", + "question": "Which UAV perspective allows for a more accurate assessment of vehicle orientation on the road?", + "options": { + "A": "UAV1, as it provides a clear top-down view of the vehicles' alignment", + "B": "UAV2, as it offers a side perspective that highlights vehicle orientation", + "C": "Both UAVs provide equally accurate assessments of vehicle orientation", + "D": "Neither UAV can accurately assess vehicle orientation due to poor visibility" + }, + "correct_answer": "C", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/23-00000067-UAV1-loss.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/23-00000067-UAV2-loss.jpg" + } + }, + { + "sequence_frame": "45-00000200", + "question_id": "MDMT_CA_UAV1_177", + "question_type": "Causal Assessment", + "question": "What is the primary cause of reduced visibility in this image?", + "options": { + "A": "Overexposure due to bright sunlight", + "B": "Motion blur from fast-moving vehicles", + "C": "Occlusion by large buildings", + "D": "Low contrast due to uniform lighting" + }, + "correct_answer": "D", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/45-00000200-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/45-00000200-UAV2.jpg" + } + }, + { + "sequence_frame": "42-00000111", + "question_id": "MDMT_OB_UAV1_178", + "question_type": "Object Counting", + "question": "Based on the image analysis, how many targets (vehicles, pedestrians, bicycles) can be observed in UAV1's perspective?", + "options": { + "A": "33", + "B": "34", + "C": "38", + "D": "36" + }, + "correct_answer": "D", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/42-00000111-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/42-00000111-UAV2.jpg" + } + }, + { + "sequence_frame": "63-00000020", + "question_id": "MDMT_SC_UNKNOWN_179", + "question_type": "Scene Comparison", + "question": "How does the visibility of the parked cars on the side streets differ between the two UAV perspectives?", + "options": { + "A": "UAV1 shows more parked cars due to a wider field of view", + "B": "UAV2 shows more parked cars as it captures a broader area", + "C": "Both UAVs show the same number of parked cars with equal clarity", + "D": "UAV1 obscures the parked cars with trees, while UAV2 clearly shows them" + }, + "correct_answer": "B", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/63-00000020-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/63-00000020-UAV2.jpg" + } + }, + { + "sequence_frame": "23-00000060", + "question_id": "MDMT_OB_UNKNOWN_180", + "question_type": "Observing Posture", + "question": "Which UAV perspective better illustrates the relative orientation of vehicles to the road's lane markings?", + "options": { + "A": "UAV1, as it shows vehicles directly aligned with lane markings", + "B": "UAV2, as it provides a broader view of vehicle alignment", + "C": "Both perspectives equally illustrate vehicle orientation", + "D": "Neither perspective clearly shows vehicle orientation" + }, + "correct_answer": "C", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/23-00000060-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/23-00000060-UAV2.jpg" + } + }, + { + "sequence_frame": "70-00000287", + "question_id": "MDMT_QU_UAV2_181", + "question_type": "Quality Assessment", + "question": "What is the perception quality assessment score (1-5) for the image captured by UAV2?", + "options": { + "A": "3", + "B": "4", + "C": "1", + "D": "5" + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/70-00000287-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/70-00000287-UAV2.jpg" + } + }, + { + "sequence_frame": "MDMT_when2col_UAV2_96", + "question_id": "MDMT_WH_UAV2_182", + "question_type": "When to Collaborate", + "question": "Should UAV2 collaborate with another UAV to address need for collaboration due to incomplete information?", + "options": { + "A": "Yes, due to partial occlusion of key objects", + "B": "No, the scene is fully visible", + "C": "Yes, due to poor visibility of the objects", + "D": "No, all objects are clearly captured" + }, + "correct_answer": "C", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/39-00000667-UAV1-loss.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/39-00000667-UAV2-loss.jpg" + } + }, + { + "sequence_frame": "MDMT_why2col_UAV1_102", + "question_id": "MDMT_WH_UAV1_183", + "question_type": "Why to Collaborate", + "question": "Why should UAV1 collaborate with another UAV?", + "options": { + "A": "To enhance visibility of targets under shadow conditions", + "B": "To capture a wider geographical area", + "C": "To increase the speed of data transmission", + "D": "To reduce power consumption" + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/39-00000700-UAV1-noise.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/39-00000700-UAV2-noise.jpg" + } + }, + { + "sequence_frame": "54-00000700", + "question_id": "MDMT_OB_UAV1_184", + "question_type": "Object Counting", + "question": "Based on the image analysis, how many targets (vehicles, pedestrians, bicycles) can be observed in UAV1's perspective?", + "options": { + "A": "63", + "B": "64", + "C": "62", + "D": "61" + }, + "correct_answer": "D", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/54-00000700-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/54-00000700-UAV2.jpg" + } + }, + { + "sequence_frame": "23-00000281", + "question_id": "MDMT_WH_UAV2_185", + "question_type": "Who to Collaborate", + "question": "Which UAV should UAV2 collaborate with for collaboration partner for complementary perspective?", + "options": { + "A": "None", + "B": "UAV1", + "C": "A ground-based sensor", + "D": "UAV1" + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/23-00000281-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/23-00000281-UAV2.jpg" + } + }, + { + "sequence_frame": "42-00000350", + "question_id": "MDMT_WH_UAV1_186", + "question_type": "Who to Collaborate", + "question": "Which UAV should UAV1 collaborate with for collaboration partner for specific object data?", + "options": { + "A": "UAV2", + "B": "None (no need for collaboration)", + "C": "A ground-based sensor", + "D": "None (no suitable collaboration partner)" + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/42-00000350-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/42-00000350-UAV2.jpg" + } + }, + { + "sequence_frame": "25-00000066", + "question_id": "MDMT_SC_UNKNOWN_187", + "question_type": "Scene Comparison", + "question": "What is a notable difference in the types of objects visible near the road between UAV1 and UAV2?", + "options": { + "A": "UAV1 shows a construction site, while UAV2 does not", + "B": "UAV2 shows more parked cars along the sidewalk", + "C": "UAV1 includes a sports field, which is absent in UAV2", + "D": "UAV2 displays a larger body of water compared to UAV1" + }, + "correct_answer": "C", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/25-00000066-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/25-00000066-UAV2.jpg" + } + }, + { + "sequence_frame": "32-00000401", + "question_id": "MDMT_CA_UAV1_188", + "question_type": "Causal Assessment", + "question": "What is the primary cause of reduced perception quality in this image?", + "options": { + "A": "Overexposure due to bright sunlight", + "B": "Occlusion by large buildings", + "C": "Motion blur from fast-moving vehicles", + "D": "Small target" + }, + "correct_answer": "D", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/32-00000401-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/32-00000401-UAV2.jpg" + } + }, + { + "sequence_frame": "63-00000118", + "question_id": "MDMT_US_UAV2_189", + "question_type": "Usability Assessment", + "question": "Is the image captured by UAV2 usable for target perception tasks?", + "options": { + "A": "No, not usable", + "B": "Yes, highly usable", + "C": "Yes, usable", + "D": "Yes, barely usable" + }, + "correct_answer": "C", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/63-00000118-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/63-00000118-UAV2.jpg" + } + }, + { + "sequence_frame": "MDMT_QA_UAV1_5", + "question_id": "MDMT_QU_UAV1_190", + "question_type": "Quality Assessment", + "question": "What is the perception quality assessment score (1-5) for the image captured by UAV1?", + "options": { + "A": "2", + "B": "5", + "C": "4", + "D": "3" + }, + "correct_answer": "C", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/23-00000004-UAV1-noise.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/23-00000004-UAV2-noise.jpg" + } + }, + { + "sequence_frame": "74-00000010", + "question_id": "MDMT_CA_UAV1_191", + "question_type": "Causal Assessment", + "question": "What is the primary cause of reduced perception quality in this image?", + "options": { + "A": "Occlusion by surrounding buildings", + "B": "Motion blur from moving vehicles", + "C": "Overexposure due to bright sunlight", + "D": "Low resolution due to camera settings" + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/74-00000010-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/74-00000010-UAV2.jpg" + } + }, + { + "sequence_frame": "69-00000490", + "question_id": "MDMT_CA_UAV2_192", + "question_type": "Causal Assessment", + "question": "What main factor might affect object detection in this scene?", + "options": { + "A": "Low contrast due to uniform lighting", + "B": "Partial occlusion by pedestrians", + "C": "Small object size relative to image resolution", + "D": "High noise from long-distance capture" + }, + "correct_answer": "C", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/69-00000490-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/69-00000490-UAV2.jpg" + } + }, + { + "sequence_frame": "23-00000665", + "question_id": "MDMT_SC_UAV2_193", + "question_type": "Scene Description", + "question": "How do the vehicles and pedestrians interact at the crosswalk in this scene?", + "options": { + "A": "Vehicles are stopped, allowing pedestrians to cross safely", + "B": "Pedestrians are waiting while vehicles continue to pass through the crosswalk", + "C": "Both vehicles and pedestrians are moving simultaneously across the crosswalk", + "D": "There are no pedestrians present, and vehicles are freely moving" + }, + "correct_answer": "C", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/23-00000665-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/23-00000665-UAV2.jpg" + } + }, + { + "sequence_frame": "30-00000650", + "question_id": "MDMT_OB_UAV1_194", + "question_type": "Object Counting", + "question": "Based on the image analysis, how many targets (vehicles, pedestrians, bicycles) can be observed in UAV1's perspective?", + "options": { + "A": "36", + "B": "37", + "C": "33", + "D": "35" + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/30-00000650-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/30-00000650-UAV2.jpg" + } + }, + { + "sequence_frame": "32-00000550", + "question_id": "MDMT_OB_UAV2_195", + "question_type": "Object Grounding", + "question": "Which vehicle is positioned in the lane designated for turning right at the intersection?", + "options": { + "A": "The red bus", + "B": "The white car near the center of the intersection", + "C": "The black car approaching the intersection", + "D": "The light blue car in the middle lane" + }, + "correct_answer": "B", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/32-00000550-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/32-00000550-UAV2.jpg" + } + }, + { + "sequence_frame": "39-00000425", + "question_id": "MDMT_WH_UAV2_196", + "question_type": "Why to Collaborate", + "question": "Why should UAV2 collaborate with another UAV?", + "options": { + "A": "To enhance visibility of targets under shadow conditions", + "B": "To capture targets that are out of its current field of view", + "C": "To improve the overall image brightness for better analysis", + "D": "To provide a redundant perspective for confirmation" + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/39-00000425-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/39-00000425-UAV2.jpg" + } + }, + { + "sequence_frame": "74-00000100", + "question_id": "MDMT_OB_UAV1_197", + "question_type": "Object Grounding", + "question": "Which statement best describes the spatial relationship between the large white truck and the teal car in the scene?", + "options": { + "A": "The teal car is directly behind the large white truck in the same lane.", + "B": "The teal car is in a different lane, positioned ahead of the large white truck.", + "C": "The teal car is parked on the side of the road, while the large white truck is driving.", + "D": "The teal car is in the adjacent lane, traveling in the opposite direction of the large white truck." + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/74-00000100-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/74-00000100-UAV2.jpg" + } + }, + { + "sequence_frame": "69-00000220", + "question_id": "MDMT_WH_UAV1_198", + "question_type": "When to Collaborate", + "question": "Should UAV1 collaborate with another UAV to address need for collaboration due to incomplete information?", + "options": { + "A": "Yes, due to partial occlusion of key objects", + "B": "No, the scene is fully visible", + "C": "Yes, due to poor visibility of the objects", + "D": "No, all objects are clearly captured" + }, + "correct_answer": "C", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/69-00000220-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/69-00000220-UAV2.jpg" + } + }, + { + "sequence_frame": "70-00000164", + "question_id": "MDMT_OB_UAV2_199", + "question_type": "Object Recognition", + "question": "What type of non-vehicle object is prominently visible near the center of the image?", + "options": { + "A": "A cyclist", + "B": "A pedestrian", + "C": "A streetlight", + "D": "A bus stop" + }, + "correct_answer": "C", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/70-00000164-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/70-00000164-UAV2.jpg" + } + }, + { + "sequence_frame": "39-00000650", + "question_id": "MDMT_SC_UAV2_200", + "question_type": "Scene Description", + "question": "How do the pedestrians interact with the parked vehicles in this scene?", + "options": { + "A": "Pedestrians are walking alongside the parked vehicles", + "B": "Pedestrians are crossing the road in front of the parked vehicles", + "C": "Pedestrians are entering or exiting the parked vehicles", + "D": "Pedestrians are standing far from the parked vehicles" + }, + "correct_answer": "D", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/39-00000650-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/39-00000650-UAV2.jpg" + } + }, + { + "sequence_frame": "70-00000336", + "question_id": "MDMT_WH_UAV2_201", + "question_type": "When to Collaborate", + "question": "Should UAV2 collaborate with another UAV to address need for collaboration due to incomplete information?", + "options": { + "A": "Yes, due to partial occlusion of key objects", + "B": "No, the scene is fully visible", + "C": "Yes, due to poor visibility of the objects", + "D": "No, all objects are clearly captured" + }, + "correct_answer": "C", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/70-00000336-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/70-00000336-UAV2.jpg" + } + }, + { + "sequence_frame": "58-00000120", + "question_id": "MDMT_OB_UAV1_202", + "question_type": "Object Grounding", + "question": "Which vehicle is positioned in the lane closest to the center divider?", + "options": { + "A": "The white car near the pedestrian crossing", + "B": "The dark-colored car in the middle of the image", + "C": "The silver car approaching the center divider", + "D": "The red car on the far left side" + }, + "correct_answer": "C", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/58-00000120-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/58-00000120-UAV2.jpg" + } + }, + { + "sequence_frame": "45-00000200", + "question_id": "MDMT_WH_UAV1_203", + "question_type": "Why to Collaborate", + "question": "Why should UAV1 collaborate with another UAV in monitoring the intersection?", + "options": { + "A": "To overcome object occlusion and ensure complete visibility of vehicles", + "B": "To enhance image brightness and resolve shadow issues for better perception", + "C": "To capture a wider area and provide a more extensive view of the surroundings", + "D": "To increase the resolution of distant objects for clearer identification" + }, + "correct_answer": "D", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/45-00000200-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/45-00000200-UAV2.jpg" + } + }, + { + "sequence_frame": "51-00000170", + "question_id": "MDMT_OB_UNKNOWN_204", + "question_type": "Object Matching", + "question": "Which object in UAV2 corresponds to the blue car parked near the intersection in UAV1?", + "options": { + "A": "The blue car now driving away from the intersection in UAV2", + "B": "The blue car now parked further along the road in UAV2", + "C": "The blue car now seen approaching the intersection in UAV2", + "D": "The blue car now stationary at a different part of the intersection in UAV2" + }, + "correct_answer": "C", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/51-00000170-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/51-00000170-UAV2.jpg" + } + }, + { + "sequence_frame": "23-00000001", + "question_id": "MDMT_OB_UNKNOWN_205", + "question_type": "Object Matching", + "question": "Which object in UAV2 corresponds to the white van traveling on the road in UAV1?", + "options": { + "A": "The white van now seen approaching a pedestrian crossing in UAV2", + "B": "The beige car traveling in the opposite direction in UAV2", + "C": "The white van parked along the side of the road in UAV2", + "D": "The white van now seen traveling on the opposite lane in UAV2" + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/23-00000001-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/23-00000001-UAV2.jpg" + } + }, + { + "sequence_frame": "MDMT_OG_UAV1_91", + "question_id": "MDMT_OB_UAV1_206", + "question_type": "Object Grounding", + "question": "What is the spatial relationship between the two individuals riding motorcycles on the left in this scene?", + "options": { + "A": "One individual is directly behind the other on the same lane.", + "B": "The individuals are riding side by side in adjacent lanes.", + "C": "One individual is ahead of the other but in a different lane.", + "D": "The individuals are positioned at opposite ends of the road." + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/39-00000700-UAV1-loss.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/39-00000700-UAV2-loss.jpg" + } + }, + { + "sequence_frame": "MDMT_who2col_UAV1_93", + "question_id": "MDMT_WH_UAV1_207", + "question_type": "Who to Collaborate", + "question": "Which UAV should UAV1 collaborate with for collaboration partner for specific object data?", + "options": { + "A": "UAV2", + "B": "None (no need for collaboration)", + "C": "A ground-based sensor", + "D": "None (no suitable collaboration partner)" + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/39-00000667-UAV1-noise.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/39-00000667-UAV2-noise.jpg" + } + }, + { + "sequence_frame": "MDMT_why2col_UAV1_17", + "question_id": "MDMT_WH_UAV1_208", + "question_type": "Why to Collaborate", + "question": "Why should UAV1 collaborate with another UAV based on the provided images?", + "options": { + "A": "To enhance the detection of vehicles in shadowed areas", + "B": "To fill in information gaps due to a completely dark field of view in UAV2", + "C": "To improve the resolution of distant objects", + "D": "To synchronize flight paths for coordinated surveillance" + }, + "correct_answer": "B", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/23-00000067-UAV1-loss.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/23-00000067-UAV2-loss.jpg" + } + }, + { + "sequence_frame": "29-00000134", + "question_id": "MDMT_SC_UAV1_209", + "question_type": "Scene Description", + "question": "How are the parking spaces arranged relative to the main road in this scene?", + "options": { + "A": "Parking spaces are located directly adjacent to the main road, separated by a thin barrier", + "B": "Parking spaces are situated parallel to the main road with a wide sidewalk in between", + "C": "Parking spaces are on the opposite side of the road, requiring vehicles to cross the main road", + "D": "Parking spaces are integrated within the main road, allowing for easy access" + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/29-00000134-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/29-00000134-UAV2.jpg" + } + }, + { + "sequence_frame": "45-00000140", + "question_id": "MDMT_WH_UAV1_210", + "question_type": "What to Collaborate", + "question": "What specific scene context information should UAV1 share with UAV2 to enhance traffic flow understanding?", + "options": { + "A": "Details of the pedestrian movements at the crosswalks", + "B": "Status of the traffic lights at the intersection", + "C": "Speed and direction of vehicles on the left side of the road", + "D": "Presence and movement of vehicles near the building entrances" + }, + "correct_answer": "D", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/45-00000140-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/45-00000140-UAV2.jpg" + } + }, + { + "sequence_frame": "27-00000618", + "question_id": "MDMT_WH_UAV1_211", + "question_type": "When to Collaborate", + "question": "Should UAV1 collaborate with another UAV to address need for collaboration due to environmental factors?", + "options": { + "A": "Yes, due to poor lighting conditions", + "B": "No, lighting is adequate", + "C": "Yes, due to low image resolution", + "D": "No, the environment is clear" + }, + "correct_answer": "C", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/27-00000618-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/27-00000618-UAV2.jpg" + } + }, + { + "sequence_frame": "23-00000001", + "question_id": "MDMT_QU_UAV1_212", + "question_type": "Quality Assessment", + "question": "What is the perception quality assessment score (1-5) for the image captured by UAV1?", + "options": { + "A": "4", + "B": "1", + "C": "5", + "D": "2" + }, + "correct_answer": "C", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/23-00000001-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/23-00000001-UAV2.jpg" + } + }, + { + "sequence_frame": "MDMT_UA_UAV2_171", + "question_id": "MDMT_US_UAV2_213", + "question_type": "Usability Assessment", + "question": "Is the image captured by UAV2 usable for target perception tasks?", + "options": { + "A": "No, not usable", + "B": "Yes, highly usable", + "C": "Yes, barely usable", + "D": "Yes, partially usable" + }, + "correct_answer": "C", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/39-00000460-UAV1-noise.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/39-00000460-UAV2-noise.jpg" + } + }, + { + "sequence_frame": "23-00000356", + "question_id": "MDMT_WH_UAV2_214", + "question_type": "When to Collaborate", + "question": "Should UAV2 collaborate with another UAV to enhance perception of the road environment due to specific environmental factors?", + "options": { + "A": "Yes, due to the presence of multiple lanes and varying traffic density", + "B": "No, the road is clear and traffic is minimal", + "C": "Yes, due to potential blind spots created by roadside structures", + "D": "No, all necessary information is already visible" + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/23-00000356-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/23-00000356-UAV2.jpg" + } + }, + { + "sequence_frame": "54-00000695", + "question_id": "MDMT_WH_UAV1_215", + "question_type": "What to Collaborate", + "question": "What specific object information should UAV1 share with UAV2 to improve perception?", + "options": { + "A": "Details of the yellow bus's position and movement on the left side", + "B": "Details of the pedestrian bridge structure", + "C": "Details of the surrounding greenery and trees", + "D": "Details of the road's lane markings" + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/54-00000695-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/54-00000695-UAV2.jpg" + } + }, + { + "sequence_frame": "29-00000250", + "question_id": "MDMT_QU_UAV1_216", + "question_type": "Quality Assessment", + "question": "What is the perception quality assessment score (1-5) for the image captured by UAV1?", + "options": { + "A": "2", + "B": "1", + "C": "3", + "D": "4" + }, + "correct_answer": "C", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/29-00000250-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/29-00000250-UAV2.jpg" + } + }, + { + "sequence_frame": "58-00000285", + "question_id": "MDMT_OB_UNKNOWN_217", + "question_type": "Observing Posture", + "question": "Which UAV perspective better illustrates the orientation of the road's lane markings relative to the observer?", + "options": { + "A": "UAV1, as it shows a more direct top-down view of the lane markings", + "B": "UAV2, as it provides a clearer side perspective of the lane markings", + "C": "Both perspectives equally illustrate the lane markings' orientation", + "D": "Neither perspective adequately shows the lane markings' orientation" + }, + "correct_answer": "C", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/58-00000285-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/58-00000285-UAV2.jpg" + } + }, + { + "sequence_frame": "23-00000423", + "question_id": "MDMT_OB_UAV2_218", + "question_type": "Object Grounding", + "question": "Which vehicle is positioned in the lane that allows a right turn, as indicated by the road markings?", + "options": { + "A": "The red car near the center of the image", + "B": "The white van driving ahead of the red car", + "C": "The blue taxi on the far right", + "D": "The white car next to the red car" + }, + "correct_answer": "C", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/23-00000423-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/23-00000423-UAV2.jpg" + } + }, + { + "sequence_frame": "45-00000010", + "question_id": "MDMT_WH_UAV1_219", + "question_type": "What to Collaborate", + "question": "What specific object information should UAV1 share with UAV2 to improve perception?", + "options": { + "A": "Details of the pedestrian movements near the bottom left corner", + "B": "Details of the parked cars on the right side", + "C": "Details of the traffic flow on the top left road", + "D": "Details of the trees and their shadows" + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/45-00000010-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/45-00000010-UAV2.jpg" + } + }, + { + "sequence_frame": "51-00000335", + "question_id": "MDMT_WH_UAV2_220", + "question_type": "Why to Collaborate", + "question": "Why should UAV2 collaborate with another UAV?", + "options": { + "A": "To overcome object occlusion and gain a complete view of the scene", + "B": "To enhance image quality by compensating for blur or brightness issues", + "C": "To adjust for different lighting conditions affecting target visibility", + "D": "To capture targets that are out-of-view in the current perspective" + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/51-00000335-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/51-00000335-UAV2.jpg" + } + }, + { + "sequence_frame": "39-00000500", + "question_id": "MDMT_OB_UNKNOWN_221", + "question_type": "Object Matching", + "question": "Which object in UAV2 corresponds to the cyclist near the center of the road in UAV1?", + "options": { + "A": "The cyclist now closer to the right side of the road in UAV2", + "B": "The pedestrian walking along the sidewalk in UAV2", + "C": "The cyclist now further ahead on the left side of the road in UAV2", + "D": "The person standing near a parked car in UAV2" + }, + "correct_answer": "A", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/39-00000500-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/39-00000500-UAV2.jpg" + } + }, + { + "sequence_frame": "66-00000700", + "question_id": "MDMT_WH_UAV2_222", + "question_type": "Why to Collaborate", + "question": "Why should UAV2 collaborate with another UAV?", + "options": { + "A": "To overcome object occlusion and provide a complete view", + "B": "To enhance the visibility of objects under shadow conditions", + "C": "To capture targets that are too small or distant in the current view", + "D": "To fill in information gaps due to out-of-view targets" + }, + "correct_answer": "C", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/66-00000700-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/66-00000700-UAV2.jpg" + } + }, + { + "sequence_frame": "28-00000025", + "question_id": "MDMT_WH_UAV2_223", + "question_type": "Who to Collaborate", + "question": "Which UAV should UAV2 collaborate with for collaboration partner for specific object data?", + "options": { + "A": "None", + "B": "UAV1", + "C": "A ground-based sensor", + "D": "UAV1" + }, + "correct_answer": "B", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/28-00000025-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/28-00000025-UAV2.jpg" + } + }, + { + "sequence_frame": "30-00000320", + "question_id": "MDMT_OB_UAV2_224", + "question_type": "Object Grounding", + "question": "What is the spatial relationship between the large circular building and the parking lot with red-roofed structures?", + "options": { + "A": "The large circular building is directly adjacent to the parking lot.", + "B": "The large circular building is across the road from the parking lot.", + "C": "The large circular building is behind the parking lot, separated by trees.", + "D": "The large circular building is in front of the parking lot, separated by a wide road." + }, + "correct_answer": "D", + "uav_paths": { + "UAV1": "Real_2_UAVs/Samples/UAV1/30-00000320-UAV1.jpg", + "UAV2": "Real_2_UAVs/Samples/UAV2/30-00000320-UAV2.jpg" + } + } +] \ No newline at end of file