A framework for indoor navigation based on a partially quantitative map

M. Tomono, S. Yuta

Research output: Contribution to conferencePaper

2 Citations (Scopus)

Abstract

A geometric map which quantitatively represents the locations of entities in the environment are widely employed for indoor navigation. Navigation based on a geometric map provides high accuracy in positioning, but making an accurate map for a large area is difficult. To cope with this problem, this paper proposes a framework of indoor navigation based on a partially quantitative map. The map comprises the models of geometric entities in the environment, the locations of which are partially defined. Using the partial information, the robot searches are recognizes entities as a landmark while navigating in the environment.

Original languageEnglish
Pages626-632
Number of pages7
Publication statusPublished - 2000 Dec 1
Event2000 IEEE/RSJ International Conference on Intelligent Robots and Systems - Takamatsu, Japan
Duration: 2000 Oct 312000 Nov 5

Conference

Conference2000 IEEE/RSJ International Conference on Intelligent Robots and Systems
CountryJapan
CityTakamatsu
Period00/10/3100/11/5

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Computer Vision and Pattern Recognition
  • Computer Science Applications

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  • Cite this

    Tomono, M., & Yuta, S. (2000). A framework for indoor navigation based on a partially quantitative map. 626-632. Paper presented at 2000 IEEE/RSJ International Conference on Intelligent Robots and Systems, Takamatsu, Japan.