INRETS has developed an image sensor that offers the advantage to use simple information based on the response analysis of an added information into the traffic scene. This new algorithm based on a co-operative structure allows us to deduce measures such as the volume (number of vehicles) and occupancy. The speed is computed by another method which uses the vehicles trajectories. The aim of this paper is to describe the detection method and the obtained results after our experiments under real traffic and different weather conditions.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Traffic measurement: image processing using road markings


    Beteiligte:
    Bouzar, S. (Autor:in) / Lenoir, F. (Autor:in) / Blosseville, J.-M. (Autor:in) / Glachet, R. (Autor:in)

    Erscheinungsdatum :

    01.01.1996


    Format / Umfang :

    5 pages



    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Print


    Sprache :

    Englisch




    Road markings recognition using image processing

    Charbonnier, P. / Diebolt, F. / Guillard, Y. et al. | Tema Archiv | 1997


    Road markings recognition using image processing

    Charbonnier, P. / Diebolt, F. / Guillard, Y. et al. | IEEE | 1997


    Vehicle localization using road markings

    Wu, Tao / Ranganathan, Ananth | IEEE | 2013


    Retroreflective distribution measurements and analysis of road traffic markings

    He, Huayang / Su, Wenying / Xue, Yingqi et al. | SPIE | 2021