Title :
Multi-target multi-object radar tracking
Author :
Möbus, Rainer ; Joos, Armin ; Kolbe, Uli
Author_Institution :
Research & Technol., DaimlerChrysler AG, Stuttgart, Germany
Abstract :
In this paper, we present algorithms to exploit full capabilities of an automotive adaptive cruise control radar sensor. We propose model based filtering and data association techniques, guaranteeing sufficient noise suppression without constraining filter dynamics more than necessary. All measured data are considered and the tracking is extended to the multi-object case.
Keywords :
adaptive control; automobiles; filtering theory; interference suppression; noise; radar tracking; target tracking; traffic control; velocity control; adaptive cruise control; automobiles; data association techniques; filter dynamics; model based filtering; multiobject radar tracking; multiple model filtering; multitarget radar tracking; noise suppression; Covariance matrix; Information filtering; Information filters; Intelligent sensors; Kalman filters; Noise measurement; Radar tracking; State estimation; Vehicle dynamics; Velocity measurement;
Conference_Titel :
Intelligent Vehicles Symposium, 2003. Proceedings. IEEE
Print_ISBN :
0-7803-7848-2
DOI :
10.1109/IVS.2003.1212960
