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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    Title :

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


    Contributors:
    Wakim, C.F. (author) / Capperon, S. (author) / Oksman, J. (author)


    Publication date :

    2004-01-01


    Size :

    453516 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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