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CVPR 2019 WAD Challenge on Trajectory Prediction and 3D Perception

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arxiv 2004.05966 v2 pith:7M6WC6CF submitted 2020-04-06 cs.CV cs.AIeess.IV

classification cs.CVcs.AIeess.IV
keywords challengetrajectoryautonomouscvprdrivinglidarperceptionprediction
verification ladder T0 review T1 audit T2 compute T3 formal
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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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