Object (e.g Pedestrian, vehicles) tracking by Extended Kalman Filter (EKF), with fused data from both lidar and radar sensors.
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Updated
Oct 27, 2023 - C++
Object (e.g Pedestrian, vehicles) tracking by Extended Kalman Filter (EKF), with fused data from both lidar and radar sensors.
An unscented Kalman Filter implementation for fusing lidar and radar sensor measurements.
TI mmWave radar ROS driver (with sensor fusion and hybrid)
[IEEE T-RO 2025] iKalibr: Unified Targetless Spatiotemporal Calibration for Resilient Integrated Inertial Systems
Real-time Radar SLAM: ORORA + ScanContext
Radar target classification, detection and recognition using deeplearning methods on MSTAR dataset
ORORA: Outlier-robust radar odometry, which is accepted in ICRA'23
Filters: KF, EKF, UKF || Process Models: CV, CTRV || Measurement Models: Radar, Lidar
Radar4Motion: 4D Imaging Radar based IMU-free Odometry with Radar Cross Section (RCS) weighted Correspondences
Radar odometry code which removes motion distortion and Doppler effects from Navtech radar data.
Course projects for the Sensor Fusion Nanodegree program on Udacity.
An extended Kalman Filter implementation in C++ for fusing lidar and radar sensor measurements.
A highly sophisticated utility for Among Us that aims to improve the game experience!
Driver for the Continental radar ARS_404 / ARS_408.
[IEEE RA-L 2024] River: A Tightly-Coupled Radar-Inertial Velocity Estimator Based on Continuous-Time Optimization
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