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

5 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 publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages525-531
Number of pages7
Volume3684 LNAI
Publication statusPublished - 2005 Dec 1
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)03029743
ISSN (Electronic)16113349

Other

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

Fingerprint

Principal Component Analysis
Mobile Robot
Principal component analysis
Mobile robots
Robot
Sonar
Fuzzy Controller
Sensor
Robots
Vision
Controllers
Sensors

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Seo, M. W., Kim, Y. J., & Lim, M. T. (2005). Door traversing for a vision-based mobile robot using PCA. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3684 LNAI, pp. 525-531). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3684 LNAI).

Door traversing for a vision-based mobile robot using PCA. / Seo, Min Wook; Kim, Young Joong; Lim, Myo Taeg.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 3684 LNAI 2005. p. 525-531 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3684 LNAI).

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

Seo, MW, Kim, YJ & Lim, MT 2005, Door traversing for a vision-based mobile robot using PCA. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 3684 LNAI, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3684 LNAI, pp. 525-531, 9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2005, Melbourne, Australia, 05/9/14.
Seo MW, Kim YJ, Lim MT. Door traversing for a vision-based mobile robot using PCA. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 3684 LNAI. 2005. p. 525-531. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
Seo, Min Wook ; Kim, Young Joong ; Lim, Myo Taeg. / Door traversing for a vision-based mobile robot using PCA. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 3684 LNAI 2005. pp. 525-531 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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