arXiv:2004.05966
공식 코드 · Papers with Code
CVPR 2019 WAD Challenge on Trajectory Prediction and 3D Perception
원문 초록
This paper reviews the CVPR 2019 challenge on Autonomous Driving. Baidu's Robotics and Autonomous Driving Lab (RAL) providing 150 minutes labeled Trajectory and 3D Perception dataset including about 80k lidar point cloud and 1000km trajectories for urban traffic. The challenge has two tasks in (1) Trajectory Prediction and (2) 3D Lidar Object Detection. There are more than 200 teams submitted results on Leaderboard and more than 1000 participants attended the workshop.
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Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations
Edge-Enabled Collaborative Object Detection for Real-Time Multi-Vehicle Perception
Simulate Any Radar: Attribute-Controllable Radar Simulation via Waveform Parameter Embedding
DuET: Dual Incremental Object Detection via Exemplar-Free Task Arithmetic
Lightweight Multi-Frame Integration for Robust YOLO Object Detection in Videos
A Survey of Multi-sensor Fusion Perception for Embodied AI: Background, Methods, Challenges and Prospects
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