A systematic representation method of the odometry uncertainty of mobile robots

Nakju Doh, Wan Kyun Chung, Sang Yep Nam

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

A covariance matrix is a tool that expresses the odometry uncertainty of mobile robots. The covariance matrix is a key factor in various localization algorithms such as the Kalman filter or topological matching. However, it is not easy to acquire an accurate covariance matrix because the real states of robots are not known. Till now, few results on estimating the covariance matrix have been reported. Also, those are not validated by experiments or do not reflect the real phenomena. In this paper, we propose a novel method which approximates the covariance matrix in a physically reasonable way. Extensive experiments validate that our method yields a covariance matrix which is accurate enough for practical uses.

Original languageEnglish
Pages (from-to)397-409
Number of pages13
JournalIntelligent Automation and Soft Computing
Volume12
Issue number4
Publication statusPublished - 2006 Dec 1
Externally publishedYes

Keywords

  • Covariance matrix
  • Generalized voronoi graph
  • Mobile robot
  • Odometry calibration
  • Odometry uncertainty
  • Relative localization

ASJC Scopus subject areas

  • Artificial Intelligence
  • Control and Systems Engineering

Fingerprint Dive into the research topics of 'A systematic representation method of the odometry uncertainty of mobile robots'. Together they form a unique fingerprint.

  • Cite this