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Identification of Personalized Potential Field and Its Application to Obstacle Avoidance Assisting Control
Published October 12, 2011 by Society of Automotive Engineers of Japan in Japan
This paper presents the identification technique of the personalized potential map to design the obstacle avoidance assisting control. First of all, personalized potential map which is considered to represent the driver's risk feeling to environment is learned by using the obstacle avoidance driving data. Next, the reference path is calculated with gradient method considering the vehicle dynamics from identified potential field, and the avoidance assisting system is achieved based on the obtained path. Finally, the validity of the proposed assisting system is verified.