Using floor plan to calibrate sensor error for indoor localization

Kun Chan Lan, Wen Yuah Shih

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

2 Scopus citations

Abstract

Some prior studies proposed the use of Pedestrian Dead Reckoning (PDR) for indoor localization, in which a small number of inertial sensors are put on the pedestrian. These sensors (such as a G-sensor and gyroscope) are used to estimate the distance and direction that a user travels. The effectiveness of a PDR system lies in its success in accurately estimating the user's moving distance and direction. In this work, we design a map matching algorithm to calibrate the sensor errors using building floor plans. The results of our experiment show that we can achieve an overall location error of about 0.48 meter.

Original languageEnglish
Title of host publication2013 International Conference on ICT Convergence
Subtitle of host publication"Future Creative Convergence Technologies for New ICT Ecosystems", ICTC 2013
PublisherIEEE Computer Society
Pages718-723
Number of pages6
ISBN (Print)9781479906987
DOIs
StatePublished - 2013
Event2013 International Conference on Information and Communication Technology Convergence, ICTC 2013 - Jeju Island, Korea, Republic of
Duration: 14 Oct 201316 Oct 2013

Publication series

NameInternational Conference on ICT Convergence
ISSN (Print)2162-1233
ISSN (Electronic)2162-1241

Conference

Conference2013 International Conference on Information and Communication Technology Convergence, ICTC 2013
CountryKorea, Republic of
CityJeju Island
Period14/10/1316/10/13

Keywords

  • floor plan
  • map matching
  • pedestrian dead reckoning
  • simple harmonic motion
  • waist-mounted
  • ZUPT

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