Driving a car in urban areas autonomously requires the ability of an in-depth analysis of the current situation. For understanding the current situation and deducing consequences for the execution of behaviors (maneuvers), higher-level reasoning about the situation has to take place. In this paper, an approach for situation interpretation for cognitive automobiles is presented. The approach relies on case-based reasoning to predict the evolvement of the current situation and to select the appropriate behavior. Case-based reasoning allows to utilize prior experiences in the task of situation assessment.


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    Title :

    Situation classification for cognitive automobiles using case-based reasoning


    Contributors:


    Publication date :

    2007-06-01


    Size :

    385608 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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