[GitHub]
Introduction
Download our Sparse LiDAR KITTI datasets
Sparse LiDAR extracted from LiDAR 64 beams
- Training (7,481 frames):
- [LiDAR 2 beams] (.bin, 112 MB)
- [LiDAR 4 beams] (.bin, 215 MB)
- [LiDAR 8 beams] (.bin, 459 MB)
- [LiDAR 16 beams] (.bin, 516 MB)
- [LiDAR 32 beams] (.bin, 1,0 GB)
- Testing (7,518 frames):
- [LiDAR 2 beams] (.bin, 116 MB)
- [LiDAR 4 beams] (.bin, 221 MB)
- [LiDAR 8 beams] (.bin, 469 MB)
- [LiDAR 16 beams] (.bin, 524 MB)
- [LiDAR 32 beams] (.bin, 1,0 GB)
Citation
If you find our work useful in your research, please consider citing:
@misc{Mai_My_Research_Sparse_2022,
author = {Mai, Nguyen Anh Minh and Duthon, Pierre and Houssam SALMANE, Pascal and Khoudour, Louahdi and Crouzil, Alain and A. Velastin, Sergio},
month = {8},
title = ,
url = {https://github.com/maiminh1996/sparse_lidar_kitti_datasets},
year = {2022}
@inproceedings{nammai_icprs_2021,
author={Mai, N.-A.-M. and Duthon, P. and Khoudour, L. and Crouzil, A. and Velastin, S. A.},
booktitle={11th International Conference of Pattern Recognition Systems (ICPRS 2021)},
title={Sparse LiDAR and Stereo Fusion (SLS-Fusion) for Depth Estimation and 3D Object Detection},
year={2021},
volume={2021},
number={},
pages={150-156},
doi={10.1049/icp.2021.1442}}
Contact
Any feedback is very welcome! Please contact us at mainguyenanhminh1996 AT gmail DOT com