Door traversing for a vision-based mobile robot using PCA

Min Wook Seo, Young Joong Kim, Myo Taeg Lim

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

7 Citations (Scopus)

Abstract

This paper presents a method that a vision-based mobile robot can find location of doors and can safely traverse the door in complex environments. A robot must be able to find the door in order that it achieves the behavior that is scheduled after traversing a door. In this paper, PCA (Principal Component Analysis) algorithm using a vision sensor is used for a mobile robot to find the location of door. In addition, a fuzzy controller using a sonar data is used for a robot to avoid obstacles and traverse the door.

Original languageEnglish
Title of host publicationKnowledge-Based Intelligent Information and Engineering Systems - 9th International Conference, KES 2005, Proceedings
PublisherSpringer Verlag
Pages525-531
Number of pages7
ISBN (Print)354028897X, 9783540288978
DOIs
Publication statusPublished - 2005
Event9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2005 - Melbourne, Australia
Duration: 2005 Sep 142005 Sep 16

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3684 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2005
CountryAustralia
CityMelbourne
Period05/9/1405/9/16

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Seo, M. W., Kim, Y. J., & Lim, M. T. (2005). Door traversing for a vision-based mobile robot using PCA. In Knowledge-Based Intelligent Information and Engineering Systems - 9th International Conference, KES 2005, Proceedings (pp. 525-531). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3684 LNAI). Springer Verlag. https://doi.org/10.1007/11554028_73