SGM3D: Stereo Guided Monocular 3D Object Detection,
Zheyuan Zhou, Liang Du, Xiaoqing Ye, Zhikang Zou, Xiao Tan, Li Zhang, Xiangyang Xue, Jianfeng Feng
RA-L 2022
[2022-07-14] Paper is received by RA-L.
[2022-06-24] Code is released.
[2021-12-03] Paper is released on Arxiv.
Selected supported methods are shown in the below table. The results are the 3D detection performance of car class on the val set of KITTI dataset.
| Easy@R40 | Mod.@R40 | Hard@R40 | download | |
|---|---|---|---|---|
| SGM3D | 25.95 | 17.44 | 15.36 | model-292M |
Please refer to INSTALL.md for the installation of OpenPCDet.
Please refer to GETTING_STARTED.md to learn more usage about this project.
SGM3D is based on OpenPCDet.
If you find this project useful in your research, please consider cite:
@article{zhou2022sgm3d,
title={SGM3D: Stereo Guided Monocular 3D Object Detection},
author={Zhou, Zheyuan and Du, Liang and Ye, Xiaoqing and Zou, Zhikang and Tan, Xiao and Zhang, Li and Xue, Xiangyang and Feng, Jianfeng},
journal={IEEE Robotics and Automation Letters},
year={2022},
volume={7},
number={4},
pages={10478-10485},
doi={10.1109/LRA.2022.3191849}}