CVPR 2019 WAD Challenge on Trajectory Prediction and 3D Perception

• URL: http://arxiv.org/abs/2004.05966v2
• Date: Thu, 15 Oct 2020 22:24:03 GMT
• Title: CVPR 2019 WAD Challenge on Trajectory Prediction and 3D Perception
• Authors: Sibo Zhang, Yuexin Ma, Ruigang Yang
• Abstract summary: Baidu's Robotics and Autonomous Driving Lab (RAL) provides 150 minutes labeled Trajectory and 3D Perception dataset. The challenge has two tasks in (1) Trajectory Prediction and (2) 3D Lidar Object Detection.
• Score: 39.12032141911959
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: 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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