Title :
Road obstacles detection using a self-adaptive stereo vision sensor: a contribution to the ARCOS French project
Author :
Rebut, J. ; Toulminet, G. ; Bensrhair, A.
Author_Institution :
Lab. Perception Syst. Inf., INSA de Rouen, Mont-Saint-Aignan, France
Abstract :
ARCOS is a French research project for secure driving. It aims at improving road safety and integrates engineering, human and social sciences. This paper presents an algorithm of road obstacles detection and a self-adaptive stereo vision system that have been provided and tested in the framework of the ARCOS project. In order to face with different lighting conditions, a new automatic gain and shutter control of the cameras is proposed. The conclusion of the performance of the whole system are discussed.
Keywords :
automatic gain control; edge detection; feature extraction; image sensors; object detection; road safety; stereo image processing; ARCOS French project; automatic gain control; cameras; lighting conditions; road obstacles detection algorithm; road safety; self adaptive stereo vision sensor; self adaptive stereo vision system; shutter control; Automatic control; Cameras; Face detection; Intelligent vehicles; Laboratories; Optical sensors; Optical variables control; Road safety; Sensor phenomena and characterization; Stereo vision;
Conference_Titel :
Intelligent Vehicles Symposium, 2004 IEEE
Print_ISBN :
0-7803-8310-9
DOI :
10.1109/IVS.2004.1336476
