Intellectual Auto-Driving System of Electric Four-Wheeled Vehicle that Pays Attention to Dynamic Obstacle Evasion

Abstract

Recently, the number of accidents for an electric four-wheeled vehicle increases. User's driving skill and knowledge shortage are enumerated as the cause. Especially, it is difficult to judge other traffic participants' movement and to decide the content of the evasive action. Up to the present, we had developed an automatic driving system that can correspond also to a dynamic obstacle by building the driving algorithm based on the predictive fuzzy control into the controller, and adding the driving knowledge to human safety. In this paper, the pavement is assumed as an actual life environment, and the behavior of the automatic driving system was confirmed by the simulation.