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IJMLC 2020 Vol.10(3): 490-494 ISSN: 2010-3700
DOI: 10.18178/ijmlc.2020.10.3.962

Particle Filter for Hector SLAM to Improve the Performance of Robot Positioning by Image Processing Based

W. Sirigool and R. Kesvarakul

Abstract—Today, robot navigation uses navigation from maps that have been collected from laser sensors. The quality and usability of the received environmental grid map. This has an evident impact on robot navigation. The more accurate the map is a direct effect on the autonomous navigation. The morphological operation was used to an improved map by using opening and closing operations to reduce noise from the original map. This paper presents an image processing technique. In order to, robots be able to reduce the time required for the navigation to the destination due to inaccuracy maps.

Index Terms—Morphological, opening, closing, Hector SLAM.

The authors are with Production Engineering Department, King Mongkut’s University of Technology North Bangkok, 1518 Pracharat 1 Road, Wongsawang, Bangsue, Bangkok 10800 Thailand (e-mail: watcharapong_s@hotmail.com, ramil.k@eng.kmutnb.ac.th).

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Cite: W. Sirigool and R. Kesvarakul, "Particle Filter for Hector SLAM to Improve the Performance of Robot Positioning by Image Processing Based," International Journal of Machine Learning and Computing vol. 10, no. 3, pp. 490-494, 2020.

Copyright © 2020 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

General Information

  • ISSN: 2010-3700 (Online)
  • Abbreviated Title: Int. J. Mach. Learn. Comput.
  • Frequency: Bimonthly
  • DOI: 10.18178/IJMLC
  • Editor-in-Chief: Dr. Lin Huang
  • Executive Editor:  Ms. Cherry L. Chen
  • Abstracing/Indexing: Inspec (IET), Google Scholar, Crossref, ProQuest, Electronic Journals Library.
  • E-mail: ijmlc@ejournal.net


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