3D Object Detection in Self-Driving Systems

2022

MP3: A Unified Model to Map, Perceive, Predict and Plan (CVPR 21)
Deep Multi-Task Learning for Joint Localization, Perception, and Prediction (CVPR 21)
LookOut: Diverse Multi-Future Prediction and Planning for Self-Driving (ICCV 21)
LaserFlow: Efficient and Probabilistic Object Detection and Motion Forecasting (RA-L 21)
Perceive, Attend, and Drive: Learning Spatial Attention for Safe Self-Driving (ICRA 21)

PnPNet: End-to-End Perception and Prediction with Tracking in the Loop (CVPR 20)
MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird’s Eye View Maps (CVPR 20)
STINet: Spatio-Temporal-Interactive Network for Pedestrian Detection and Trajectory Prediction (CVPR 20)
DSDNet: Deep Structured self-Driving Network (ECCV 20)
Testing the Safety of Self-driving Vehicles by Simulating Perception and Prediction (ECCV 20)
Perceive, Predict, and Plan: Safe Motion Planning Through Interpretable Semantic Representations (ECCV 20)
End-to-end Contextual Perception and Prediction with Interaction Transformer (IROS 20)
PointTrackNet: An End-to-End Network For 3-D Object Detection and Tracking From Point Clouds (RA-L 20)
Multimodal End-to-End Autonomous Driving (T-ITS 20)
Tracking to Improve Detection Quality in Lidar For Autonomous Driving (ICASSP 21)

Fast and Furious: Real Time End-to-End 3D Detection, Tracking and Motion Forecasting with a Single Convolutional Net (CVPR 18)
IntentNet: Learning to Predict Intention from Raw Sensor Data (CoRL 18)
End-to-end Driving via Conditional Imitation Learning (IROS 18)
Learning to Drive in a Day (arXiv 18)