In parameters estimation for stereo-based vehicle detection, it is important to estimate the three-dimensional geometrical relationship between a stereo camera and a road surface. However, vehicles' existence in a field of view sometimes has a bad influence upon the accuracy of road surface estimation. Therefore, we propose a method for road surface estimation robust against vehicles' existence in a field of view. This method considers the difference between the distribution of feature points from a road surface and those from a vehicle in the spatio-disparity space. Therefore, road surface estimation can be done using those mostly from a road surface. We also confirm its effectiveness by experiments on field images.


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    Title :

    Road surface estimation robust against vehicles' existence for stereo-based vehicle detection


    Contributors:
    Aizawa, T. (author) / Tanaka, A. (author) / Higashikage, H. (author) / Asokawa, Y. (author) / Kimachi, M. (author) / Ogata, S. (author)


    Publication date :

    2002-01-01


    Size :

    534791 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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