Journal
ICT EXPRESS
Volume 2, Issue 2, Pages 71-74Publisher
ELSEVIER
DOI: 10.1016/j.icte.2016.04.002
Keywords
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Funding
- National Research Foundation of Korea (NRF) - Korean government (MSIP) [2015R1A2A1A10052224]
- Ministry of Land, Infrastructure, and Transport (MOLIT), Korea [15RTRP-B086931-02]
- National Research Foundation of Korea [2015R1A2A1A10052224] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
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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. (C) 2016 The Korean Institute of Communications Information Sciences. Publishing Services by Elsevier B.V.
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