Fast_lio_slam
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Tracking With Extended Kalman Filter | 451 | 3 years ago | 5 | mit | C++ | |||||
| Object (e.g Pedestrian, vehicles) tracking by Extended Kalman Filter (EKF), with fused data from both lidar and radar sensors. | ||||||||||
| Datmo | 225 | 8 months ago | 3 | bsd-2-clause | C++ | |||||
| Detection and Tracking of Moving Objects (DATMO) using sensor_msgs/Lidar. | ||||||||||
| Fusion Ukf | 133 | 4 years ago | 3 | mit | C++ | |||||
| An unscented Kalman Filter implementation for fusing lidar and radar sensor measurements. | ||||||||||
| Fusion Ekf | 128 | 6 years ago | mit | C++ | ||||||
| An extended Kalman Filter implementation in C++ for fusing lidar and radar sensor measurements. | ||||||||||
| Tracking With Unscented Kalman Filter | 100 | 3 years ago | 2 | C++ | ||||||
| Object (e.g Pedestrian, biker, vehicles) tracking by Unscented Kalman Filter (UKF), with fused data from both lidar and radar sensors. | ||||||||||
| Fusion Ekf Python | 63 | 6 years ago | mit | Jupyter Notebook | ||||||
| An extended Kalman Filter implementation in Python for fusing lidar and radar sensor measurements | ||||||||||
| Lidar And Radar Sensor Fusion With Extended Kalman Filter | 52 | 3 years ago | 1 | MATLAB | ||||||
| Fusing Lidar and Radar data with Extended Kalman Filter (EKF) | ||||||||||
| Fast_lio_slam | 36 | 3 years ago | n,ull | gpl-2.0 | C++ | |||||
| LiDAR SLAM = FAST-LIO + Scan Context | ||||||||||
| Sasensorfusionlocalization | 30 | 6 years ago | C++ | |||||||
| Sensor Fusion and Localization related projects of Udacity's Self-driving Car Nanodegree Program: | ||||||||||
| Advoard_localization | 22 | 3 years ago | Python | |||||||
| ROS localization with uwb, odom and lidar using kalman filter method | ||||||||||
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