DocumentCode
2054855
Title
Probabilistic short range radar data fusion
Author
Richter, Eric ; Preckwinkel, Frederik ; Wanielik, Gerd
Author_Institution
Commun. Eng., Chemnitz Univ. of Technol., Chemnitz, Germany
fYear
2012
fDate
20-23 March 2012
Firstpage
1
Lastpage
7
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/SSD.2012.6198027
Filename
6198027
Link To Document