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.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Road obstacles detection using a self-adaptive stereo vision sensor: a contribution to the ARCOS French project


    Contributors:
    Rebut, J. (author) / Toulminet, G. (author) / Bensrhair, A. (author)


    Publication date :

    2004-01-01


    Size :

    776790 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    TPP1.01 Road Obstacles Detection using a Self-Adaptive Stereo Vision Sensor: A Contribution to the ARCOS French Project

    Rebut, J. / Toulminet, G. / Bensrhair, A. et al. | British Library Conference Proceedings | 2004


    AUTONOMOUS OFF-ROAD NAVIGATION USING STEREO-VISION AND LASER-RANGEFINDER FUSION FOR OUTDOOR OBSTACLES DETECTION

    Hussein, Ahmed / Marín-Plaza, Pablo / Martín, David et al. | British Library Conference Proceedings | 2016



    Detecting Obstacles on the Guideway Using Stereo Vision

    Ukai, M. | British Library Online Contents | 1996


    Multi-cue road boundary detection using stereo vision

    Wang, Li / Wu, Tao / Xiao, Zhipeng et al. | IEEE | 2016