An automatic parking system using an optimized image-based fuzzy controller by genetic algorithms

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• 作者：Yin Yin Aye ; Keigo Watanabe ; Shoichi Maeyama ; Isaku Nagai
• 关键词：Image ; based visual servoing ; Fuzzy control ; Car ; like mobile robot ; Automatic parking ; Genetic algorithm
• 刊名：Artificial Life and Robotics
• 出版年：2017
• 出版时间：March 2017
• 年：2017
• 卷：22
• 期：1
• 页码：139-144
• 全文大小：
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence (incl. Robotics); Computation by Abstract Devices; Control, Robotics, Mechatronics;
• 出版者：Springer Japan
• ISSN：1614-7456
• 卷排序：22

文摘

An automatic parking system of a car-like mobile robot is an important issue in commercial applications. An image-based fuzzy controller for an automatic parking system of a car-like mobile robot was developed in previous work, where the membership functions were tuned by experimentally. The aim of this paper is to optimize the parameters of the membership functions, which were performed in previous work, using a genetic algorithm against the complicated tuning of the controller. The details of GA implementation, such as the design parameters and choice of fitness function, are described. Simulation results illustrate the effectiveness of the developed schemes.