CVPR 2019 WAD Challenge on Trajectory Prediction and 3D Perception
Zhang, Sibo, Ma, Yuexin, Yang, Ruigang, Li, Xin, Zhu, Yanliang, Qian, Deheng, Yang, Zetong, Zhang, Wenjing, Liu, Yuanpei
–arXiv.org Artificial Intelligence
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.
arXiv.org Artificial Intelligence
Apr-6-2020
- Country:
- Asia
- North America > United States
- Kentucky (0.04)
- Genre:
- Research Report (1.00)
- Industry:
- Transportation > Ground > Road (0.56)
- Technology:
- Information Technology > Artificial Intelligence
- Machine Learning > Neural Networks
- Deep Learning (0.36)
- Robots (0.76)
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- Machine Learning > Neural Networks
- Information Technology > Artificial Intelligence