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

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dc.contributor.authorHan, Dong-Sooko
dc.contributor.authorJung, Suk-Hoonko
dc.contributor.authorLee, Sangjaeko
dc.date.accessioned2016-12-01T06:53:01Z-
dc.date.available2016-12-01T06:53:01Z-
dc.date.created2016-05-31-
dc.date.created2016-05-31-
dc.date.created2016-05-31-
dc.date.issued2016-06-
dc.identifier.citationICT EXPRESS, v.2, no.2, pp.71 - 74-
dc.identifier.issn2405-9595-
dc.identifier.urihttp://hdl.handle.net/10203/214517-
dc.description.abstractThis 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.-
dc.languageEnglish-
dc.publisherELSEVIER SCIENCE BV-
dc.titleA Sensor Fusion Method for Wi-Fi-based Indoor Positioning-
dc.typeArticle-
dc.identifier.scopusid2-s2.0-85032292132-
dc.type.rimsART-
dc.citation.volume2-
dc.citation.issue2-
dc.citation.beginningpage71-
dc.citation.endingpage74-
dc.citation.publicationnameICT EXPRESS-
dc.identifier.doi10.1016/j.icte.2016.04.002-
dc.contributor.localauthorHan, Dong-Soo-
dc.description.isOpenAccessN-
dc.type.journalArticleArticle-
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