DocumentCode :
3466868
Title :
Model based vehicle detection for intelligent vehicles
Author :
Collado, J.M. ; Hilario, C. ; La Escalera, A. De ; Armingol, J.M.
Author_Institution :
Intelligent Syst. Lab., Univ. Carlos III de Madrid, Spain
fYear :
2004
fDate :
14-17 June 2004
Firstpage :
572
Lastpage :
577
Abstract :
One of the Advanced Driver Assistance Systems are being researched nowadays for Intelligent Vehicles has to deal -with the detection and tracking of other vehicles. It will have many applications: Platooning, Stop&go, Blind angle perception, Manoeuvres supervisor. In this paper, a system based on computer vision is presented. A geometric model of the vehicle is defined where its energy function includes information of the shape and symmetry of the vehicle and the shadow it produces. A genetic algorithm finds the optimum parameter values. Examples of real images are shown to validate the algorithm.
Keywords :
computational geometry; computer vision; driver information systems; edge detection; genetic algorithms; tracking; vehicles; advanced driver assistance systems; blind angle perception; computer vision; genetic algorithm; geometric model; intelligent vehicles; optimum parameter values; tracking vehicles; vehicle detection; Computer vision; Intelligent sensors; Intelligent vehicles; Laser radar; Radar detection; Radar tracking; Remotely operated vehicles; Roads; Vehicle detection; Vehicle driving;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Vehicles Symposium, 2004 IEEE
Print_ISBN :
0-7803-8310-9
Type :
conf
DOI :
10.1109/IVS.2004.1336447
Filename :
1336447
Link To Document :
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