We have developed a stereo-based video vehicle detector, Silhouette Vision/sup TM/ and its high ability of detecting vehicles has also been confirmed through various field tests. The main issue of the paper is to discuss vehicle detection of Silhouette Vision/sup TM/ under a windy condition. For effective vehicle detection, in general, a stereo-based video detector such as Silhouette Vision/sup TM/ requires accurate 3-D measurements in the roadway image. However, camera sway caused by the wind sometimes has a bad influence upon the calculation of 3-D measurements. To alleviate such a problem, we propose a 3-D measurements correction method that is effective even in windy conditions. In our simulation experiments, we show that Silhouette Vision/sup TM/ has enough ability to detect vehicles even under windy conditions.


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    Titel :

    A stereo-based vehicle detection method under windy conditions


    Beteiligte:
    Suwa, M. (Autor:in) / Wu, Y. (Autor:in) / Kobayashi, M. (Autor:in) / Kimachi, M. (Autor:in) / Ogata, S. (Autor:in)


    Erscheinungsdatum :

    01.01.2000


    Format / Umfang :

    377684 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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