DocumentCode :
2485592
Title :
Visual Perception and Tracking of Vehicles for Driver Assistance Systems
Author :
Hilario, Cristina ; Collado, Juan Manuel ; Armingol, Jose Maria ; de la Escalera, A.
Author_Institution :
Dept. of Syst. Eng. & Autom., Univ. Carlos III de Madrid
fYear :
0
fDate :
0-0 0
Firstpage :
94
Lastpage :
99
Abstract :
In this paper a driver assistance system for vehicle detection and tracking is presented. The goal of the system is to perceive the surroundings of the vehicle looking for other vehicles. Depending when they have been detected (overtaking, at long range) movement, or a geometric model of the vehicle are used. Later, the vehicle is tracked. As the algorithm receives information from a road detection module some geometric restrictions can be applied. A multi-resolution approach is used to speed up the algorithm and work in real-time. Examples of real images are shown to validate the algorithm
Keywords :
driver information systems; object detection; realistic images; tracking; vehicles; visual perception; driver assistance system; multiresolution approach; road detection; vehicle detection; visual perception; visual tracking; Computer vision; Intelligent sensors; Intelligent vehicles; Neural networks; Radar detection; Radar tracking; Road accidents; Vehicle detection; Vehicle driving; Visual perception;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Vehicles Symposium, 2006 IEEE
Conference_Location :
Tokyo
Print_ISBN :
4-901122-86-X
Type :
conf
DOI :
10.1109/IVS.2006.1689611
Filename :
1689611
Link To Document :
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