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

fYear

2004

fDate

14-17 June 2004

Firstpage

738

Lastpage

743

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Vehicles Symposium, 2004 IEEE

Print_ISBN

0-7803-8310-9

Type

conf

DOI

10.1109/IVS.2004.1336476

Filename

1336476