Many approaches were proposed to detect obstacles in front of a car. Most of them start with modelling the road geometry and extract some coherent structures such as road edges or lane-markings in the stereo image pair. Our approach copes with this problem differently: At first, we give a definition of an obstacle and in a second step, we exploit its relationship with the stereo vision system configuration. This allows us to separate image features into those belonging to the obstacles and those due to non-obstacles (e.g. lane markings). Experimental results seem to demonstrate the effectiveness of such a method. Future work will incorporate this approach into a stop & go application.


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    Title :

    Obstacles detection from disparity properties in a particular stereo vision system configuration


    Contributors:
    Zayed, M. (author) / Boonaert, J. (author)


    Publication date :

    2003-01-01


    Size :

    331399 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Obstacles Detection from Disparity Properties in a Particular Stereo Vision System Configuration

    Zayed, M. / Boonaert, J. / IEEE | British Library Conference Proceedings | 2003



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