SLAM problem via H filter with compensation for intermittent observation

Yoshihiro Okawa, Toru Namerikawa

研究成果: Conference contribution

5 被引用数 (Scopus)

抄録

This paper deals with the Simultaneous Localization and Mapping (SLAM) problem via the H filter with compensations for intermittent observations. In order to estimate positions of a robot and landmarks accurately under intermittent observations, we propose the method with a novel filter which detects and compensates intermittent observations by comparing the obtained data with their estimations. This paper also shows the convergence of the estimated error covariance matrices. With simulation and experimental results, we confirm that the state of the robot and the environmental conditions are estimated accurately via the proposed filter under intermittent observations and that the derived theorems of the convergence are correct.

本文言語English
ホスト出版物のタイトル2014 IEEE 13th International Workshop on Advanced Motion Control, AMC 2014
出版社Institute of Electrical and Electronics Engineers Inc.
ページ386-391
ページ数6
ISBN(印刷版)9781479923243
DOI
出版ステータスPublished - 2014 1月 1
イベント2014 13th IEEE International Workshop on Advanced Motion Control, AMC 2014 - Yokohama, Japan
継続期間: 2014 3月 142014 3月 16

出版物シリーズ

名前International Workshop on Advanced Motion Control, AMC

Other

Other2014 13th IEEE International Workshop on Advanced Motion Control, AMC 2014
国/地域Japan
CityYokohama
Period14/3/1414/3/16

ASJC Scopus subject areas

  • 制御およびシステム工学
  • モデリングとシミュレーション
  • コンピュータ サイエンスの応用
  • 電子工学および電気工学

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