| RobustFieldAutonomyLab/LeGO-LOAM |
2,002 |
|
0 |
0 |
almost 3 years ago |
0 |
|
14 |
bsd-3-clause |
C++ |
| LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain |
| 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. |
| szenergy/awesome-lidar |
696 |
|
0 |
0 |
over 2 years ago |
0 |
|
1 |
cc0-1.0 |
|
| 😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators. |
| loicland/superpoint_graph |
691 |
|
0 |
0 |
over 2 years ago |
0 |
|
14 |
mit |
Python |
| Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs |
| 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 |
| mmolero/awesome-point-cloud-processing |
542 |
|
0 |
0 |
almost 4 years ago |
0 |
|
1 |
cc0-1.0 |
|
| A curated list of awesome Point Cloud Processing Resources, Libraries, Software |
| praveen-palanisamy/multiple-object-tracking-lidar |
375 |
|
0 |
0 |
over 4 years ago |
0 |
|
4 |
mit |
C++ |
| C++ implementation to Detect, track and classify multiple objects using LIDAR scans or point cloud |
| heremaps/pptk |
282 |
|
0 |
0 |
almost 6 years ago |
0 |
|
35 |
mit |
C++ |
| The Point Processing Toolkit (pptk) is a Python package for visualizing and processing 2-d/3-d point clouds. |
| davidcaron/pclpy |
206 |
|
0 |
0 |
about 5 years ago |
24 |
August 24, 2018 |
54 |
mit |
Python |
| Python bindings for the Point Cloud Library (PCL) |
| pglira/simpleICP |
199 |
|
0 |
0 |
over 2 years ago |
18 |
August 30, 2023 |
13 |
mit |
Python |
| Implementations of a rather simple version of the Iterative Closest Point algorithm in various languages. |
