| PRBonn/depth_clustering |
778 |
|
0 |
0 |
over 4 years ago |
0 |
|
3 |
mit |
C++ |
| :taxi: Fast and robust clustering of point clouds generated with a Velodyne sensor. |
| johannes-graeter/limo |
760 |
|
0 |
0 |
over 2 years ago |
0 |
|
7 |
gpl-3.0 |
C++ |
| Lidar-Monocular Visual Odometry |
| loicland/superpoint_graph |
691 |
|
0 |
0 |
over 2 years ago |
0 |
|
14 |
mit |
Python |
| Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs |
| xinge008/Cylinder3D |
670 |
|
0 |
0 |
about 3 years ago |
0 |
|
48 |
apache-2.0 |
Python |
| Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (both single-scan and multi-scan) (Nov. 2020) (CVPR2021 Oral) |
| beedotkiran/Lidar_For_AD_references |
610 |
|
0 |
0 |
almost 4 years ago |
0 |
|
0 |
|
|
| A list of references on lidar point cloud processing for autonomous driving |
| PRBonn/lidar-bonnetal |
443 |
|
0 |
0 |
about 5 years ago |
0 |
|
9 |
mit |
Python |
| Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving |
| BichenWuUCB/SqueezeSeg |
420 |
|
0 |
0 |
almost 7 years ago |
0 |
|
39 |
bsd-2-clause |
Python |
| Implementation of SqueezeSeg, convolutional neural networks for LiDAR point clout segmentation |
| lorenwel/linefit_ground_segmentation |
412 |
|
0 |
0 |
over 3 years ago |
0 |
|
0 |
bsd-3-clause |
C++ |
| Ground Segmentation from Lidar Point Clouds |
| url-kaist/patchwork-plusplus |
397 |
|
0 |
0 |
over 2 years ago |
0 |
|
1 |
gpl-3.0 |
C++ |
| Patchwork++: Fast and robust ground segmentation method for 3D LiDAR scans. @ IROS'22 |
| PRBonn/LiDAR-MOS |
392 |
|
0 |
0 |
over 3 years ago |
0 |
|
9 |
mit |
Python |
| (LMNet) Moving Object Segmentation in 3D LiDAR Data: A Learning-based Approach Exploiting Sequential Data (RAL/IROS 2021) |
