Multiple Object Tracking Lidar
C++ implementation to Detect, track and classify multiple objects using LIDAR scans or point cloud
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Awesome Robotic Tooling | 2,777 | 5 months ago | 5 | cc0-1.0 | ||||||
| Tooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace. | ||||||||||
| Hdl_graph_slam | 1,566 | a year ago | 100 | bsd-2-clause | C++ | |||||
| 3D LIDAR-based Graph SLAM | ||||||||||
| Lidar_camera_calibration | 1,187 | a year ago | 53 | gpl-3.0 | C++ | |||||
| ROS package to find a rigid-body transformation between a LiDAR and a camera for "LiDAR-Camera Calibration using 3D-3D Point correspondences" | ||||||||||
| Photogrammetry Guide | 923 | 3 months ago | Python | |||||||
| Photogrammetry Guide. Photogrammetry is widely used for Aerial surveying, Agriculture, Architecture, 3D Games, Robotics, Archaeology, Construction, Emergency management, and Medical. | ||||||||||
| Loam_velodyne | 909 | 5 years ago | 93 | other | C++ | |||||
| Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar. | ||||||||||
| Interactive_slam | 798 | a year ago | 21 | gpl-3.0 | C++ | |||||
| Interactive Map Correction for 3D Graph SLAM | ||||||||||
| Depth_clustering | 778 | 2 years ago | 3 | mit | C++ | |||||
| :taxi: Fast and robust clustering of point clouds generated with a Velodyne sensor. | ||||||||||
| Awesome Lidar | 696 | 4 months ago | 1 | cc0-1.0 | ||||||
| 😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators. | ||||||||||
| Superpoint_graph | 691 | 9 months ago | 14 | mit | Python | |||||
| Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs | ||||||||||
| Cylinder3d | 670 | a year ago | 48 | apache-2.0 | Python | |||||
| Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (both single-scan and multi-scan) (Nov. 2020) (CVPR2021 Oral) | ||||||||||
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