There is a need for specification, implementation, and evaluation of electronic systems that could detect pedestrians in front of the vehicle and predict vehicle-to-pedestrian accidents. In this study, vehicle-to-pedestrian crashes were classified into eleven typical scenarios. The essential characteristics of vehicle-to-pedestrian accidents were identified. The statistical behaviors of the many different systems involved (vehicle, pedestrian, environment, and advanced driver assistance devices) were modeled. Then, Monte-Carlo simulations were carried out for critical vehicle and pedestrian road situations. The developed simulation tool allows the evaluation and validation of the performances of potential innovative systems.


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    Titel :

    Design of pedestrian detection systems for the prediction of car-to-pedestrian accidents


    Beteiligte:
    Wakim, C.F. (Autor:in) / Capperon, S. (Autor:in) / Oksman, J. (Autor:in)


    Erscheinungsdatum :

    01.01.2004


    Format / Umfang :

    453516 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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