Self-position estimation of autonomous mobile robot that uses metallic landmark

Hajime Fujii, Yoshinobu Ando, Takashi Yoshimi, Makoto Mizukawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper proposes a method of improving accuracy of self-position estimation with metallic landmark for mobile robot. Many methods of the past self-position estimation researches have been using GPS, Laser Range Scanner and CCD Camera. However, these methods may be unable to get landmark information correctly depending on environment. Metallic landmark is useful in those environments which conventional sensors cannot work well. Accuracy of self-position estimation was increased by combining information from metallic landmark with information from other equipments.

Original languageEnglish
Title of host publicationEmerging Trends in Mobile Robotics- Proceedings of the 13th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines, CLAWAR 2010
EditorsHideo Fujimoto, Mohammad O. Tokhi, Hiromi Mochiyama, Gurvinder S. Virk
PublisherWorld Scientific
Pages1129-1136
Number of pages8
ISBN (Print)9789814327978
DOIs
Publication statusPublished - 2010 Jan 1
Event13th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines, CLAWAR 2010 - Nagoya, Japan
Duration: 2010 Aug 312010 Sep 3

Publication series

NameEmerging Trends in Mobile Robotics- Proceedings of the 13th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines, CLAWAR 2010

Conference

Conference13th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines, CLAWAR 2010
CountryJapan
CityNagoya
Period10/8/3110/9/3

ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction

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  • Cite this

    Fujii, H., Ando, Y., Yoshimi, T., & Mizukawa, M. (2010). Self-position estimation of autonomous mobile robot that uses metallic landmark. In H. Fujimoto, M. O. Tokhi, H. Mochiyama, & G. S. Virk (Eds.), Emerging Trends in Mobile Robotics- Proceedings of the 13th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines, CLAWAR 2010 (pp. 1129-1136). (Emerging Trends in Mobile Robotics- Proceedings of the 13th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines, CLAWAR 2010). World Scientific. https://doi.org/10.1142/9789814329927_0138