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

Yin Yin Aye, Keigo Watanabe, Shoichi Maeyama, Isaku Nagai

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)139-144
Number of pages6
JournalArtificial Life and Robotics
Volume22
Issue number1
DOIs
Publication statusPublished - Mar 1 2017

Keywords

  • Automatic parking
  • Car-like mobile robot
  • Fuzzy control
  • Genetic algorithm
  • Image-based visual servoing

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Artificial Intelligence

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