Driving Behavior Control Based on an On-line Learning Algorithm

被引：1

作者：

Cao, Kai ^{[1
]}

Tang, Jin Jun ^{[1
]}

Zhou, Lu Lu ^{[1
]}

机构：

[1] Shandong Univ Technol, Coll Traff & Vehicle Engn, Zibo 255049, Peoples R China

来源：

ICNC 2008: FOURTH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, VOL 4, PROCEEDINGS | 2008年

关键词：

D O I：

10.1109/ICNC.2008.589

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A driver steering control was modeled by using an idea of target position. The proposed model dealt with the driver decision-making mechanisms in tracking a target position by means of Neuro-Fuzzy system. Here, a cubic B-spline curve was employed to generate more flexible paths of lane- change to a target position. Additionally, a learning algorithm, utilizing local linear networks in the corresponding fuzzy areas to approximate the nonlinear function, was proposed to emulate a driver self-learning skills from his driving experience. Results from the simulation of the obstacle avoidance showed the capability of the proposed model to carry out a driver steering behavior with emphasis on learned skills.

引用

页码：368 / 372

页数：5

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