Planning, acting, and recognizing intentions of participants in traffic situations requires the processing of complex spatio-temporal situations. If spatio-temporal information was represented quantitatively it would result in a huge amount of data. We claim that an abstraction to a qualitative description leads to more stable representations as similar situations at the quantitative level are mapped to one qualitative representation. Our approach is evaluated by emulating traffic situations with settings in the Robocup small-sized league.


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    Title :

    Dynamic-preserving qualitative motion description for intelligent vehicles


    Contributors:
    Miene, A. (author) / Lattner, A.D. (author) / Visser, U. (author) / Herzog, O. (author)


    Publication date :

    2004-01-01


    Size :

    536899 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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