In this contribution new results in the field of video processing regarding the problem of obstacle detection will be presented. Video sequences obtained from a camera mounted in a driving car are used as the input to a CNN and different templates are applied to extract multiple features from video sequences. Thereby, CNN with nonlinear weight functions have been considered allowing a reliable feature extraction. A detailed discussion of the algorithms and obtained results will be given in this paper.


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    Title :

    Recent results for obstacle detection by cellular neural networks (CNN)


    Contributors:
    Geis, G. (author) / Feiden, D. (author) / Tetzlaff, R. (author)


    Publication date :

    2005


    Size :

    5 Seiten, 14 Quellen





    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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