DBNet is a large-scale dataset for driving behavior research. It includes aligned video, point cloud, GPS and driver behavior (speed and wheel), which captures 1000 KM real-world driving data. It was developed by MVIG, Shanghai Jiao Tong University* and SCSC Lab, Xiamen University* (*alphabetical order). We hope it will become a useful resource for autonomous driving research community.
Research paper (if you use our dataset, please cite following paper)
LiDAR-Video Driving Dataset: Learning Driving Policies Effectively
Yiping Chen*, Jingkang Wang*, Jonathan Li, Cewu Lu, Zhipeng Luo, Han Xue, and Cheng Wang (*equal contribution)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
Corresponding author are Jonathan Li (firstname.lastname@example.orgemail@example.com) and Cewu Lu (firstname.lastname@example.org)
Prof. Cewu Lu*
Prof. Jonathan Li*