A Car-Steering Model Based on an Adaptive Neuro-Fuzzy Controller
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概要
- 論文の詳細を見る
This paper is concerned with the development of a car-steering model for traffic simulation. Our focus in this paper is to propose a model of the steering behavior of a human driver for different driving scenarios. These scenarios are modeled in a unified framework using the idea of target position. The proposed approach deals with the driver’s approximation and decision-making mechanisms in tracking a target position by means of fuzzy set theory. The main novelty in this paper lies in the development of a learning algorithm that has the intention to imitate the driver’s self-learning from his driving experience and to mimic his maneuvers on the steering wheel, using linear networks as local approximators in the corresponding fuzzy areas. Results obtained from the simulation of an obstacle avoidance scenario show the capability of the model to carry out a human-like behavior with emphasis on learned skills.
- 社団法人 電気学会の論文
- 2004-11-01
著者
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Oda Takeshi
Watanabe Lab. Department Of Information And Communication Engineering University Of Electro-communic
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AMOR Mohamed
Watanabe Lab., Department of Information and Communication Engineering, University of Electro-Commun
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WATANABE Shigeyoshi
Watanabe Lab., Department of Information and Communication Engineering, University of Electro-Commun
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Watanabe Shigeyoshi
Watanabe Lab. Department Of Information And Communication Engineering University Of Electro-communic
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Amor M
Univ. Electro‐communications
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Ben Amor
Watanabe Lab., Department of Information and Communication Engineering, University of Electro-Communications