Title :
Probabilistic short range radar data fusion
Author :
Richter, Eric ; Preckwinkel, Frederik ; Wanielik, Gerd
Author_Institution :
Commun. Eng., Chemnitz Univ. of Technol., Chemnitz, Germany
Abstract :
This paper demonstrates a system which uses two short range radar sensors and on-board kinematic sensors in order to track vehicles driving behind the ego vehicle. For that, integrated probabilistic data association and the unscented Kalman filtering framework is utilized. The functionality of the proposed system is shown using real data and its performance is critically discussed.
Keywords :
Kalman filters; probability; radar signal processing; sensor fusion; integrated probabilistic data association; on-board kinematic sensors; probabilistic short range radar data fusion; short range radar sensors; track vehicles; unscented Kalman filtering framework; Clutter; Radar tracking; Sensor systems; Tracking; Vehicles; data fusion; object tracking; probabilistic data association; radar processing;
Conference_Titel :
Systems, Signals and Devices (SSD), 2012 9th International Multi-Conference on
Conference_Location :
Chemnitz
Print_ISBN :
978-1-4673-1590-6
Electronic_ISBN :
978-1-4673-1589-0
DOI :
10.1109/SSD.2012.6198027
