This paper presents an active vision system for real-time traffic sign recognition. The system is composed of two cameras, one is equipped with a wide-angle lens and the other with a telephoto-lens, and a PC with an image processing board. The system first detects candidates for traffic signs in the wide-angle image using color; intensity, and shape information. For each candidate, the telephoto-camera is directed to its predicted position to capture the candidate in a larger size in the image. The recognition algorithm is designed by intensively using built-in-functions of an off-the-shelf image processing board to realize both easy implementation and fast recognition. The results of on-road real-time experiments show the feasibility of the system.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    An active vision system for real-time traffic sign recognition


    Beteiligte:
    Miura, J. (Autor:in) / Kanda, T. (Autor:in) / Shirai, Y. (Autor:in)


    Erscheinungsdatum :

    2000-01-01


    Format / Umfang :

    668041 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    An Active Vision System for Real-Time Traffic Sign Recognition

    Miura, J. / Kanda, T. / Shirai, Y. et al. | British Library Conference Proceedings | 2000


    A Real-Time Traffic Sign Recognition System

    Estable, S. / Schick, J. / Stein, F. et al. | British Library Conference Proceedings | 1994


    Vehicle vision system with enhanced traffic sign recognition

    BIEMER MICHAEL / BOEGEL RUEDIGER | Europäisches Patentamt | 2019

    Freier Zugriff

    Real-Time Traffic-Sign Recognition Using Tree Classifiers

    Zaklouta, Fatin / Stanciulescu, Bogdan | IEEE | 2012


    VEHICLE VISION SYSTEM WITH ENHANCED TRAFFIC SIGN RECOGNITION

    BIEMER MICHAEL / BOEGEL RUEDIGER | Europäisches Patentamt | 2018

    Freier Zugriff