Intersections are one major accident location type. This paper presents a situation analysis that combines a driver intent prediction and probabilistic reachable sets to determine the criticality of a scene. The intent prediction algorithm is presented and its evaluation in a study in real world driving. It is explained how the reachable sets are calculated and the collision probability is defined. These approaches use detailed digital maps and a graph based environmental model to perceive these complex situations.


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    Titel :

    Situation analysis for driver assistance systems at urban intersections


    Beteiligte:
    Herrmann, Simon (Autor:in) / Schroven, Frank (Autor:in)


    Erscheinungsdatum :

    2012-07-01


    Format / Umfang :

    961907 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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