Study on Autonomous Intelligent Drive System Based on Potential Field with Hazard Anticipation
Ryosuke Matsumi*, Pongsathorn Raksincharoensak**, and Masao Nagai***
*Department of Mechanical Engineering, Tokyo University of Science
6-3-1 Niijuku, Katsushika-ku, Tokyo 125-8585, Japan
**Department of Mechanical Systems Engineering, Tokyo University of Agriculture and Technology
2-24-16 Naka-cho, Koganei, Tokyo 184-8588, Japan
***Japan Automobile Research Institute
1-1-30 Shiba Daimon, Minato-ku, Tokyo 105-0012, Japan
Pedestrians darting out from blind spots in driver vision are typical scenarios in urban street environments, and conventional autonomous emergency braking systems reach safety limits if sensors do not detect the pedestrian in time to prevent accident or injury. The system must be able to anticipate such potential hazards and to anticipate such pedestrian action. This paper focuses on a pedestrian collision avoidance system that has a “driving-intelligence” model. The model was designed by applying potential field theory using hazard-anticipatory knowledge. The effectiveness of the proposed system is confirmed by computer simulation.
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