This paper introduces a cognitive method for extracting significant road information (like road extents, lane markings) from mono-color images. The system is able to identify all traffic lanes and to distinguish between continuous and broken lane markings. Its output is useful in driver assistance systems (for example lane-departure warning). The cognitive aspects of the system are highlighted and the implemented algorithms are described. Finally, some results of the performed tests are introduced before drawing the conclusion.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Extracting road features from color images using a cognitive approach


    Beteiligte:
    Rotaru, C. (Autor:in) / Graf, T. (Autor:in) / Jianwei Zhang, (Autor:in)


    Erscheinungsdatum :

    01.01.2004


    Format / Umfang :

    944926 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    MPP1.04 Extracting Road Features from Color Images using a Cognitive Approach

    Rotaru, C. / Graf, T. / Zhang, J. et al. | British Library Conference Proceedings | 2004



    Fast road detection from color images

    Wang, Bihao / Fremont, Vincent | IEEE | 2013


    FAST ROAD DETECTION FROM COLOR IMAGES

    Wang, B. / Fremont, V. / Institute of Electrical and Electronics Engineers | British Library Conference Proceedings | 2013


    Extracting Curvilinear Features from Remotely Sensed Images using Minimum Cost Path Techniques

    Dobie, M. R. / Lewis, P. H. / IEEE; Signal Processing Society | British Library Conference Proceedings | 1994