Automated detection of pavement boundaries is an important enabling technology in intelligent vehicle applications. This paper describes a circular shape model for detecting pavement boundaries and shows that the circular shape models enjoy several critical advantages over the polynomial models without any additional increase in model complexity including: the model parameters are all of the same units, even a small change to any one parameter results in a uniformly different shape appearance; and as a result the associated shape matching problem is considerably better conditioned than the corresponding problem with polynomial shape models. Our application domain is one of road/pavement boundary estimation based on image data from a high-resolution multibeam 77 GHz millimeter-wave radar. A successful solution to this problem has impact on a number of driver assistance systems, such as road departure warning, forward collision warning, etc.


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    Title :

    Pavement boundary detection via circular shape models


    Contributors:
    Ma, B. (author) / Lakshmanan, S. (author) / Hero, A.O. (author)


    Publication date :

    2000


    Size :

    6 Seiten, 9 Quellen




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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