In this paper, we report a case study on driver's decision in terms of pedestrian attributes. Among various traffic situations, the situation that a vehicle passes by a pedestrian is one of the major situations. To build a safety driving system that supports a non-experienced driver in such a situation, we analyzed how experienced drivers decide to handle the vehicle in such a situation. Since pedestrian's behavior can be considered as a key factor for the decision, and also the behavior is different depending on their “attributes,” such as walking or stopping, noticing the vehicle or not, using a smartphone, etc., we analyzed what pedestrian's attributes affect the driver's decisions. For the analysis, we first built a large-scale dataset of driving data. Using the dataset, we clarified what attributes are dominant for the driver's decision.


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    Titel :

    Driver's decision analysis in terms of pedestrian attributes — A case study in passing by a pedestrian


    Beteiligte:


    Erscheinungsdatum :

    01.10.2017


    Format / Umfang :

    761174 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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