A sensor fusion method for Wi-Fi-based indoor positioning

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• 作者：Dongsoo Han ^{dshan@kaist.ac.kr" class="auth_mail" title="E-mail the corresponding author} ; Suk-hoon Jung ; ^{sh.jung@kaist.ac.kr" class="auth_mail" title="E-mail the corresponding author} ; Sangjae Lee ^{summit@kaist.ac.kr" class="auth_mail" title="E-mail the corresponding author}
• 刊名：ICT Express
• 出版年：2016
• 出版时间：June 2016
• 年：2016
• 卷：2
• 期：2
• 页码：71-74
• 全文大小：647 K

文摘

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.