In this paper two different vision based systems for vehicle detection are described and their integration discussed. The first approach is based on the use of a specific model for vehicles and mostly relies on monocular vision. Conversely, the second system is based on the use of stereo vision and allows to refine the coarse results obtained by the former. A preliminary integration of the two systems has been tested on the ARGO experimental vehicle and some remarks about reliability and robustness are also included.


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    Title :

    A cooperative approach to vision-based vehicle detection


    Contributors:
    Bensrhair, A. (author) / Bertozzi, M. (author) / Broggi, A. (author) / Miche, P. (author) / Mousset, S. (author) / Toulminet, G. (author)


    Publication date :

    2001-01-01


    Size :

    882587 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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