A framework for indoor navigation based on a partially quantitative map

M. Tomono, Shinichi Yuta

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

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
Title of host publicationIEEE International Conference on Intelligent Robots and Systems
Pages626-632
Number of pages7
Volume1
Publication statusPublished - 2000
Externally publishedYes
Event2000 IEEE/RSJ International Conference on Intelligent Robots and Systems - Takamatsu
Duration: 2000 Oct 312000 Nov 5

Other

Other2000 IEEE/RSJ International Conference on Intelligent Robots and Systems
CityTakamatsu
Period00/10/3100/11/5

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ASJC Scopus subject areas

  • Control and Systems Engineering

Cite this

Tomono, M., & Yuta, S. (2000). A framework for indoor navigation based on a partially quantitative map. In IEEE International Conference on Intelligent Robots and Systems (Vol. 1, pp. 626-632)