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)
Radar target classification, detection and recognition using deeplearning methods on MSTAR dataset
Real-time Radar SLAM: ORORA + ScanContext
ORORA: Outlier-robust radar odometry, which is accepted in ICRA'23
Filters: KF, EKF, UKF || Process Models: CV, CTRV || Measurement Models: Radar, Lidar
Radar odometry code which removes motion distortion and Doppler effects from Navtech radar data.
An extended Kalman Filter implementation in C++ for fusing lidar and radar sensor measurements.
Course projects for the Sensor Fusion Nanodegree program on Udacity.
iKalibr: Unified Targetless Spatiotemporal Calibration for Resilient Integrated Inertial Systems
Driver for the Continental radar ARS_404 / ARS_408.
The OpenATS COMPASS (Compliance Assessment) tool aims at providing a generalized framework for air-traffic surveillance data analysis, visualization & evaluation.
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