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.
Design of pedestrian detection systems for the prediction of car-to-pedestrian accidents
2004-01-01
453516 byte
Conference paper
Electronic Resource
English
Pedestrian detection for the prediction of car-to-pedestrian accidents
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