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| "title": "3D Object Detection for Autonomous Driving: A Comprehensive Survey" |
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| "title": "Cirrus: A Long-range Bi-pattern LiDAR Dataset" |
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| "title": "Multi-View Adaptive Fusion Network for 3D Object Detection" |
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| "title": "Microsoft COCO: Common Objects in Context" |
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| "title": "You Only Look Once: Unified, Real-Time Object Detection" |
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| "title": "Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation" |
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| "title": "EfficientDet: Scalable and Efficient Object Detection" |
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| "title": "Object Detection With Deep Learning: A Review" |
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| "title": "Pseudo-LiDAR From Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving" |
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| "title": "A Survey of Deep Learning-Based Object Detection" |
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| "title": "DCN V2: Improved Deep & Cross Network and Practical Lessons for Web-scale Learning to Rank Systems" |
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| "title": "A2D2: Audi Autonomous Driving Dataset" |
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| "title": "Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection" |
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| "title": "Vehicle Detection from 3D Lidar Using Fully Convolutional Network" |
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| "title": "Multi-Task Multi-Sensor Fusion for 3D Object Detection" |
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| "title": "Voxel Transformer for 3D Object Detection" |
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| "title": "Objects are Different: Flexible Monocular 3D Object Detection" |
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| "title": "Physically Realizable Adversarial Examples for LiDAR Object Detection" |
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| "title": "Improving 3D Object Detection with Channel-wise Transformer" |
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| "title": "Delving into localization errors for monocular 3D object detection" |
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| "title": "HVNet: Hybrid Voxel Network for LiDAR Based 3D Object Detection" |
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| "title": "IoU-aware Single-stage Object Detector for Accurate Localization" |
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| "title": "What You See is What You Get: Exploiting Visibility for 3D Object Detection" |
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| "title": "LiDAR and Camera Calibration Using Motions Estimated by Sensor Fusion Odometry" |
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| "title": "Relation Graph Network for 3D Object Detection in Point Clouds" |
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| "title": "PointRGCN: Graph Convolution Networks for 3D Vehicles Detection Refinement" |
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| "title": "BADET: Boundary-aware 3d object detection from point clouds" |
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| "title": "Voxel-FPN: multi-scale voxel feature aggregation in 3D object detection from point clouds" |
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| "title": "A survey of autonomous driving: Common practices and emerging technologies" |
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| "title": "Deep reinforcement learning for autonomous driving: A survey" |
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| "title": "3D Object Detection From Images for Autonomous Driving: A Survey" |
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| "title": "Is ego status all you need for open-loop end-to-end autonomous driving?" |
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| "title": "End-to-end autonomous driving: Challenges and frontiers" |
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| "title": "CARLA: An Open Urban Driving Simulator" |
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| "title": "LGSVL simulator: A high fidelity simulator for autonomous driving" |
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| "title": "AirSim: High-fidelity visual and physical simulation for autonomous vehicles" |
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| "title": "OCC3D: A large-scale 3D occupancy prediction benchmark for autonomous driving" |
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| "title": "OPV2V: An open benchmark dataset and fusion pipeline for perception with vehicle-to-vehicle communication" |
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| "title": "TUMTraf V2X cooperative perception dataset" |
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| "title": "YOLOv3: An incremental improvement" |
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| "title": "FCOS3D: Fully convolutional one-stage monocular 3d object detection" |
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| "title": "Adaptive hierarchical down-sampling for point cloud classification" |
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| "title": "VoxelNext: Fully sparse voxelnet for 3d object detection and tracking" |
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| "title": "IS-Fusion: Instance-scene collaborative fusion for multimodal 3d object detection" |
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| "title": "Fast and furious: Real time end-to-end 3d detection, tracking and motion forecasting with a single convolutional net" |
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| "title": "An LSTM approach to temporal 3d object detection in lidar point clouds" |
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| "title": "Lidar-based online 3d video object detection with graph-based message passing and spatiotemporal transformer attention" |
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| "title": "STINet: Spatio-temporal-interactive network for pedestrian detection and trajectory prediction" |
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| "title": "Temporal-channel transformer for 3d lidar-based video object detection for autonomous driving" |
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| "title": "Joint monocular 3d vehicle detection and tracking" |
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| "title": "An empirical evaluation of generic convolutional and recurrent networks for sequence modeling" |
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| "title": "Unsupervised Point Cloud Representation Learning With Deep Neural Networks: A Survey" |
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| "title": "Sensor Fusion for Joint 3D Object Detection and Semantic Segmentation" |
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| "title": "What Happens for a ToF LiDAR in Fog?" |
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| "title": "FuseMODNet: Real-Time Camera and LiDAR Based Moving Object Detection for Robust Low-Light Autonomous Driving" |
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| "title": "Approaches, Challenges, and Applications for Deep Visual Odometry: Toward Complicated and Emerging Areas" |
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| "title": "The Adaptability and Challenges of Autonomous Vehicles to Pedestrians in Urban China" |
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| "title": "Semantic Understanding of Foggy Scenes with Purely Synthetic Data" |
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| "title": "Optimal Sensor Data Fusion Architecture for Object Detection in Adverse Weather Conditions" |
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| "title": "Radar Voxel Fusion for 3D Object Detection" |
| }, |
| "2103.11071": { |
| "arxivId": "2103.11071", |
| "title": "Stereo CenterNet based 3D Object Detection for Autonomous Driving" |
| }, |
| "1605.02196": { |
| "arxivId": "1605.02196", |
| "title": "All Weather Perception: Joint Data Association, Tracking, and Classification for Autonomous Ground Vehicles" |
| }, |
| "2008.08136": { |
| "arxivId": "2008.08136", |
| "title": "DeepLiDARFlow: A Deep Learning Architecture For Scene Flow Estimation Using Monocular Camera and Sparse LiDAR" |
| }, |
| "2008.01942": { |
| "arxivId": "2008.01942", |
| "title": "A feature-supervised generative adversarial network for environmental monitoring during hazy days" |
| }, |
| "2204.00106": { |
| "arxivId": "2204.00106", |
| "title": "A Survey of Robust 3D Object Detection Methods in Point Clouds" |
| }, |
| "2108.12863": { |
| "arxivId": "2108.12863", |
| "title": "MBDF-Net: Multi-Branch Deep Fusion Network for 3D Object Detection" |
| } |
| } |
