This paper proposes an improvement of Advanced Driver Assistance System based on saliency estimation of road signs. After a road sign detection stage, its saliency is estimated using a SVM learning. A model of visual saliency linking the size of an object and a size-independent saliency is proposed. An eye tracking experiment in context close to driving proves that this computational evaluation of the saliency fits well with human perception, and demonstrates the applicability of the proposed estimator for improved ADAS.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Alerting the drivers about road signs with poor visual saliency


    Beteiligte:


    Erscheinungsdatum :

    01.06.2009


    Format / Umfang :

    1663790 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Alerting the Drivers about Road Signs with Poor Visual Saliency

    Simon, L. / Tarel, J.-P. / Bremond, R. | British Library Conference Proceedings | 2009


    Saliency assistant driver alerting

    Yang, Daiqin / Ke, Shidong / Hou, Youqiang et al. | IEEE | 2013



    ALERTING DRIVERS USING VEHICLE HEADLIGHTS

    CONNERS JOSEPH T / SCHUITEMA JONATHAN G | Europäisches Patentamt | 2025

    Freier Zugriff

    Drivers' understanding of road traffic signs

    Gray, P.G. | Engineering Index Backfile | 1964