Indoor localization and map building for autonomous mobile robot

Mingming Lou, Pengwei Yu, Yao Yao, Lei Zhang

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

3 Scopus citations

Abstract

The purpose of this paper is to develop both of high accuracy positioning and map building for an autonomous mobile robot working in indoor environment. A time difference of arrival (TDOA) hyperbola locating method based on ultra-wideband technology and Taylor series expansion algorithm has been proposed to reduce the indoor positioning error. A straight line matching method is raised to process the real-time laser scanned data. The parameters of matching conditions and state matrix under different motion state are deduced to improve the accuracy of line feature matching. The ultra-wideband technology with TDOA locating method and Taylor expansion algorithm proved to be accurate in determining the location and position. The map building combined with the proposed feature line matching has the potential to meet the demand for robot navigation, exploration and cognition.

Original languageEnglish
Title of host publicationProceedings of 2016 IEEE International Conference on Integrated Circuits and Microsystems, ICICM 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages354-358
Number of pages5
ISBN (Electronic)9781509028146
DOIs
StatePublished - 10 Jan 2017
Event2016 IEEE International Conference on Integrated Circuits and Microsystems, ICICM 2016 - Chengdu, China
Duration: 23 Nov 201625 Nov 2016

Publication series

NameProceedings of 2016 IEEE International Conference on Integrated Circuits and Microsystems, ICICM 2016

Conference

Conference2016 IEEE International Conference on Integrated Circuits and Microsystems, ICICM 2016
Country/TerritoryChina
CityChengdu
Period23/11/1625/11/16

Keywords

  • Feature line matching
  • TDOA
  • Taylor series expansion method
  • autonomous mobile robot
  • high accuracy positioning in indoor environment
  • map building

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