| open-mmlab/OpenPCDet |
4,100 |
|
0 |
0 |
over 2 years ago |
0 |
|
43 |
apache-2.0 |
Python |
| OpenPCDet Toolbox for LiDAR-based 3D Object Detection. |
| protontypes/awesome-robotic-tooling |
2,777 |
|
0 |
0 |
over 2 years ago |
0 |
|
5 |
cc0-1.0 |
|
| Tooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace. |
| generalized-intelligence/GAAS |
1,512 |
|
0 |
0 |
over 4 years ago |
0 |
|
8 |
bsd-3-clause |
C++ |
| GAAS is an open-source program designed for fully autonomous VTOL(a.k.a flying cars) and drones. GAAS stands for Generalized Autonomy Aviation System. |
| 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. |
| 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 |
| ApolloScapeAuto/dataset-api |
455 |
|
0 |
0 |
almost 3 years ago |
0 |
|
69 |
apache-2.0 |
Jupyter Notebook |
| The ApolloScape Open Dataset for Autonomous Driving and its Application. |
| 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 |
| dvlab-research/VoxelNeXt |
422 |
|
0 |
0 |
almost 3 years ago |
0 |
|
7 |
apache-2.0 |
Python |
| VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking (CVPR 2023) |
| PointsCoder/Awesome-3D-Object-Detection-for-Autonomous-Driving |
421 |
|
0 |
0 |
almost 3 years ago |
0 |
|
0 |
|
|
| 3D Object Detection for Autonomous Driving: A Comprehensive Survey (IJCV 2023) |
| LimHyungTae/patchwork |
381 |
|
0 |
0 |
over 2 years ago |
0 |
|
1 |
mit |
C++ |
| SOTA fast and robust ground segmentation using 3D point cloud (accepted in RA-L'21 w/ IROS'21) |
