CVPR 2019 WAD Challenge on Trajectory Prediction and 3D Perception

2020-04-06Code Available0· sign in to hype

Sibo Zhang, Yuexin Ma, Ruigang Yang

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Code

github.com/ApolloScapeAuto/dataset-api
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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.

Tasks

Autonomous Driving object-detection Object Detection Trajectory Prediction

CVPR 2019 WAD Challenge on Trajectory Prediction and 3D Perception

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Abstract

Tasks

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