経路に沿ったカーネル密度推定を用いたドライバモデリング

抄録

Due to the development of the sensor technology, the driver assistance system and autonomous driving system are intensively studied. Prediction model is then required based on the driving behavior. In this study, we construct the driver model to predict the behavior at a crossroad, using the brake timing sampled from the event data recorder/ blax box. The density estimation is the key technique since the moment of the braking is a type of data observed as an event not as a continuous one such as the velocity. Thanks to the smoothing of the occurrence points of the event, we can calculate the probability at any place along the route, which enables us to establish a method to predict the route from the braking behavior.