Intelligent Auto-driving Vehicle Based on Conversation with Dynamic Obstacle

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 research, we add the function to acquire the action of the future by the conversation with a dynamic obstacle based on this system, and construct an automatic driving system of an electric four-wheeled vehicle that does driving that considers the acquired action of the future.