A Sensor Fusion Method for Wi-Fi-based Indoor Positioning

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 357
  • Download : 0
This paper presents a sensor fusion method for a Wi-Fi-based indoor positioning system, named the KAist Indoor LOcating System (KAILOS), which was developed to realize a global indoor positioning system (GIPS) that utilizes crowd-sourced fingerprints. KAILOS supports the deployment of indoor positioning systems in buildings by collecting indoor maps and fingerprint DBs of buildings for the GIPS. Thereby, KAILOS provides a method based on sensor fusion for volunteers to develop indoor positioning systems for their buildings. KAILOS has been made available online for public use. In addition, various location-based applications can also be developed using KAILOS.
Publisher
ELSEVIER SCIENCE BV
Issue Date
2016-06
Language
English
Article Type
Article
Citation

ICT EXPRESS, v.2, no.2, pp.71 - 74

ISSN
2405-9595
DOI
10.1016/j.icte.2016.04.002
URI
http://hdl.handle.net/10203/214517
Appears in Collection
CS-Journal Papers(저널논문)
Files in This Item
There are no files associated with this item.

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0