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A Method for Position Estimation of Mobile Robot Based on Data Fusion

  • Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Triangulation is a commonly used method for position estimation of mobile robots. In this work, we describe the triangulation algorithms in detail and analyze the error by establishing a Gaussian error model. We perform multiple triangulation algorithms using angular information of landmarks in one scan. A different approach is proposed to fuse the estimated values which is acquired from multiple triangulation algorithms. The proposed algorithm effectively improves the accuracy of position estimation based on triangulation and reduces the uncertainty of position.

Original languageEnglish
Title of host publicationProceedings of the 31st Chinese Control and Decision Conference, CCDC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5568-5572
Number of pages5
ISBN (Electronic)9781728101057
DOIs
StatePublished - Jun 2019
Event31st Chinese Control and Decision Conference, CCDC 2019 - Nanchang, China
Duration: 3 Jun 20195 Jun 2019

Publication series

NameProceedings of the 31st Chinese Control and Decision Conference, CCDC 2019

Conference

Conference31st Chinese Control and Decision Conference, CCDC 2019
Country/TerritoryChina
CityNanchang
Period3/06/195/06/19

Keywords

  • Data fusion
  • Error analysis
  • Position estimation
  • Triangulation

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