This paper describes a method for detecting and recognizing road signs in grey-level images acquired by a single camera mounted on a moving vehicle. An extensive experimentation has shown that the method is robust against low-level noise corrupting edge detection and contour following, and works for images of cluttered urban streets as well as country roads and highways. A further improvement on the detection and recognition scheme has been obtained by means of a Kalman-filter-based temporal integration of the extracted information. The proposed approach can be very helpful for the development of a system for driving assistance.


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    Title :

    Robust road sign detection and recognition from image sequences


    Contributors:
    Piccioli, G. (author) / De Micheli, E. (author) / Parodi, P. (author) / Campani, M. (author)


    Publication date :

    1994-01-01


    Size :

    736758 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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