A framework for indoor navigation based on a partially quantitative map

M. Tomono, S. Yuta

研究成果: Paper査読

3 被引用数 (Scopus)

抄録

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.

本文言語English
ページ626-632
ページ数7
出版ステータスPublished - 2000 12 1
イベント2000 IEEE/RSJ International Conference on Intelligent Robots and Systems - Takamatsu, Japan
継続期間: 2000 10 312000 11 5

Conference

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

ASJC Scopus subject areas

  • 制御およびシステム工学
  • ソフトウェア
  • コンピュータ ビジョンおよびパターン認識
  • コンピュータ サイエンスの応用

フィンガープリント

「A framework for indoor navigation based on a partially quantitative map」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル