This paper focuses on recognition and tracking of maneuvering vehicles in dense traffic situations. We present an asynchronous multi obstacle multi sensor tracking method that fuses information from radar and monocular vision. A low level fusion method is integrated into the framework of an IMMPDA Kalman filter. Real world experiments demonstrate that the system combines the complementary strengths of the employed sensors.
IMMPDA vehicle tracking system using asynchronous sensor fusion of radar and vision
2008 IEEE Intelligent Vehicles Symposium ; 168-173
01.06.2008
439202 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
IMMPDA Vehicle Tracking System Using Asynchronous Sensor Fusion of Radar and Vision
British Library Conference Proceedings | 2008
|