DocumentCode :
2122034
Title :
Contrast-invariant Obstacle Detection System using Color Stereo Vision
Author :
Cabani, Iyadh ; Toulminet, Gwenaële ; Bensrhair, Abdelaziz
Author_Institution :
Lab. LITIS, INSA de Rouen, St. Etienne-du-Rouvray
fYear :
2008
fDate :
12-15 Oct. 2008
Firstpage :
1032
Lastpage :
1037
Abstract :
In this article, we present a color stereo vision system conceived to detect road obstacles. Color matching algorithm based on dynamic programming is presented. This algorithm is invariant in the contrast. With this property, the gain of cameras is configured in automatic mode without decrease the performance of color matching. As a consequence, 3D edges of obstacle are correctly extracted even in difficult cases (for example, entrance and exit of the tunnel). Experimental results are shown in the last section of the paper.
Keywords :
dynamic programming; image colour analysis; object detection; road traffic; stereo image processing; color matching algorithm; color stereo vision; contrast-invariant obstacle detection system; dynamic programming; road obstacles; Cameras; Dynamic programming; Heuristic algorithms; Image edge detection; Intelligent transportation systems; Radar detection; Roads; Sensor systems; Stereo vision; Vehicle detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Transportation Systems, 2008. ITSC 2008. 11th International IEEE Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2111-4
Electronic_ISBN :
978-1-4244-2112-1
Type :
conf
DOI :
10.1109/ITSC.2008.4732657
Filename :
4732657
Link To Document :
بازگشت