论文标题
CVPR 2019 WAD挑战轨迹预测和3D知觉
CVPR 2019 WAD Challenge on Trajectory Prediction and 3D Perception
论文作者
论文摘要
本文回顾了关于自动驾驶的CVPR 2019挑战。 Baidu的机器人技术和自动驾驶实验室（RAL）提供150分钟标记的轨迹和3D感知数据集，其中包括大约80k Lidar Point Cloud和1000km的城市交通轨迹。挑战在（1）轨迹预测和（2）3D激光雷达对象检测中具有两个任务。有200多个团队在排行榜上提交了结果，1000多名参与者参加了研讨会。
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.
