Indoor positioning system using sensor and crowdsourcing landmark map update

Hyunjung Kim, Jong Wook Kim, Beakcheol Jang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

The indoor positioning technology has been attracting the attention of researchers due to the increasing pervasiveness of smartphones and the development of sensor technology along with the increase of time that modern people spend indoor. Sensor technology, which is the most commonly used data source for indoor positioning, has an advantage that sensors can receive data from smartphone without installing the device separately. However, indoor positioning technology which depends only on sensor data, has the disadvantage of cumulatively accumulating errors. To solve this problem, techniques using landmarks which make a singular point of indoor localization are studied. In this paper, we provide a system that combines crowd sourcing technique and landmarks to receive data from many unspecified users. Our proposed system updates the indoor landmark map by automatically removing the unused landmarks for a long time and adding more landmarks through crowd sourcing. The system calculates the location of the user through the SLAM algorithm using the improved landmark map.

Original languageEnglish
Title of host publicationProceedings - 2019 7th International Conference on Green and Human Information Technology, ICGHIT 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages7-11
Number of pages5
ISBN (Electronic)9781728106274
DOIs
Publication statusPublished - 2019 Jan
Event7th International Conference on Green and Human Information Technology, ICGHIT 2019 - Kuala Lumpur, Malaysia
Duration: 2019 Jan 162019 Jan 18

Publication series

NameProceedings - 2019 7th International Conference on Green and Human Information Technology, ICGHIT 2019

Conference

Conference7th International Conference on Green and Human Information Technology, ICGHIT 2019
Country/TerritoryMalaysia
CityKuala Lumpur
Period19/1/1619/1/18

Bibliographical note

Funding Information:
ACKNOWLEDGEMENTS This work was supported by the national research foundation of Korea grant funded by the Korea government (NRF-2016R1D1A1B03930815)

Publisher Copyright:
© 2019 IEEE.

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Renewable Energy, Sustainability and the Environment
  • Atomic and Molecular Physics, and Optics
  • Computer Science Applications
  • Information Systems and Management

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