Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
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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. | ||||||||||
Rednose | 329 | 4 months ago | 5 | mit | Python | |||||
Kalman filter library | ||||||||||
Ukf | 329 | 2 years ago | 6 | mit | C++ | |||||
Unscented Kalman Filter library for state and parameter estimation | ||||||||||
Simplekalmanfilter | 276 | a year ago | mit | C++ | ||||||
A basic implementation of Kalman Filter for single variable models. | ||||||||||
Datmo | 225 | 7 months ago | 3 | bsd-2-clause | C++ | |||||
Detection and Tracking of Moving Objects (DATMO) using sensor_msgs/Lidar. | ||||||||||
Kalmanfilter Vehicle Gnss Ins | 140 | a year ago | 1 | mit | MATLAB | |||||
In this project, I implemented a Kalman filter on IMU and GPS data recorded from high accuracy sensors. | ||||||||||
Lowlevelparticlefilters.jl | 105 | 3 months ago | 6 | other | Julia | |||||
State estimation, smoothing and parameter estimation using Kalman and particle filters. | ||||||||||
Kalman Filter For Sensor Fusion | 102 | 2 years ago | 1 | Jupyter Notebook | ||||||
A Sensor Fusion Algorithm that can predict a State Estimate and Update if it is uncertain | ||||||||||
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. | ||||||||||
Eekf | 51 | 9 years ago | 1 | mit | C | |||||
C-Implementation of an Extended Kalman Filter for use in embedded applications |