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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    Title :

    Real-time stereo vision for urban traffic scene understanding


    Contributors:
    Franke, U. (author) / Joos, A. (author)


    Publication date :

    2000-01-01


    Size :

    698035 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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