Most existing vision-based traffic sign recognition (TSR) systems rely for the initial shape detection on a processing step that assumes possible positions and sizes for traffic signs to be known a priori. Usually the better the expected position and size can be estimated, the better do these shape detection algorithms perform concerning accuracy and processing time. This paper presents a novel region of interest concept that is based on the known real world positions of traffic signs during the different driving situations. The vehicle surrounding along the predicted host path and the expected positions of traffic signs are modelled in 3D. A projection to the image plane results in a region of interest for traffic signs. This projected region of interest reduces the search-space for initial candidate detection. A reduced search-space leads to a lower number of false positives and reduced computational costs.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A novel region of interest selection approach for traffic sign recognition based on 3D modelling


    Contributors:


    Publication date :

    2008-06-01


    Size :

    1049609 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    A Novel Region of Interest Selection Approach for Traffic Sign Recognition Based on 3D Modelling

    Nunn, C. / Kummert, A. / Muller-Schneiders, S. | British Library Conference Proceedings | 2008


    A traffic sign detection pipeline based on interest region extraction

    Salti, Samuele / Petrelli, Alioscia / Tombari, Federico et al. | IEEE | 2013


    TRAFFIC SIGN RECOGNITION DEVICE AND TRAFFIC SIGN RECOGNITION METHOD

    MIYASATO KAZUHIRO / KOYASU TOSHIYA | European Patent Office | 2023

    Free access

    Hybrid Approach For Traffic Sign Recognition

    Janssen, R. / Ritter, W. / Stein, F. et al. | IEEE | 1993


    Hybrid Approach for Traffic Sign Recognition

    Janssen, R. / Ritter, W. / Stein, F. et al. | British Library Conference Proceedings | 1993