BADet: Boundary-Aware 3D Object Detection from Point Clouds (Pattern Recognition 2022: IF=8.518)

As of Apr. 17th, 2021, 1^st place in KITTI BEV detection leaderboard and on par performance on KITTI 3D detection leaderboard among all published literature. The detector can run at 7.1 FPS.

Authors: Rui Qian, Xin Lai, Xirong Li

[arXiv] [elsevier] [code]

*We leave this home page only for the ease of reference of M.Sc. Dissertation•《基于点云的边界感知3D目标检测》.

Please refer to https://github.com/rui-qian/BADet for more details.

Citation

If you find this code useful in your research, please consider citing our work:

@inproceedings{qian_2022_PR,
title = {{BADet}: Boundary-Aware {3D} Object Detection from Point Clouds},
journal = {Pattern Recognition},
volume = {125},
pages = {108524},
year = {2022},
publisher={Elsevier},
author = {Rui Qian and Xin Lai and Xirong Li},
}
@inproceedings{qian_2022pr_survey,
title={{3D} Object Detection for Autonomous Driving: A Survey}, 
booktitle = {Pattern Recognition},
volume = {130},
pages = {108796},
year = {2022},
publisher={Elsevier},
author = {Rui Qian and Xin Lai and Xirong Li},
}