This paper presents a precise correlation-based stereo vision approach that allows real-time interpretation of traffic scenes and autonomous Stop&Go on a standard PC. The high speed is achieved by means of a multiresolution analysis. It delivers the stereo disparities with sub-pixel accuracy and allows precise distance estimates. Traffic applications using this method are described.


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    Titel :

    Real-time stereo vision for urban traffic scene understanding


    Beteiligte:
    Franke, U. (Autor:in) / Joos, A. (Autor:in)


    Erscheinungsdatum :

    01.01.2000


    Format / Umfang :

    698035 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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