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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    Titel :

    Robust road sign detection and recognition from image sequences


    Beteiligte:
    Piccioli, G. (Autor:in) / De Micheli, E. (Autor:in) / Parodi, P. (Autor:in) / Campani, M. (Autor:in)


    Erscheinungsdatum :

    01.01.1994


    Format / Umfang :

    736758 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Robust Road Sign Detection and Recognition from Image Sequences

    Piccioli, G. / Parodi, P. / De Micheli, E. et al. | British Library Conference Proceedings | 1994


    Robust method for road sign detection and recognition

    Piccioli, G. / De Micheli, E. / Parodi, P. et al. | British Library Online Contents | 1996



    Road sign detection and recognition

    Shneier, Michael | SPIE | 2006


    ROAD SIGN RECOGNITION APPARATUS AND ROAD SIGN RECOGNITION METHOD

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