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

Abstract

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.