A crowdsourcing-based global indoor positioning and navigation system

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• 作者：Suk-hoon Jung ; Sangjae Lee ; Dongsoo Han ; ^{dshan@kaist.ac.kr" class="auth_mail" title="E-mail the corresponding author}
• 关键词：Global indoor positioning and navigation ; Radio map ; Positioning algorithm ; Crowdsourcing
• 刊名：Pervasive and Mobile Computing
• 出版年：2016
• 出版时间：September 2016
• 年：2016
• 卷：31
• 期：Complete
• 页码：94-106
• 全文大小：1284 K

文摘

This paper presents three key techniques to realize a global indoor positioning system (GIPS), and a global in- and-outdoor integrated navigation system (GINS). A crowdsourcing radio map construction method, a positioning algorithm for crowdsourced radio maps, and an indoor and outdoor environment detection method are developed as the three key techniques. The developed techniques have been integrated into a crowdsourcing-based indoor positioning system, named KAILOS, aiming to realize the GIPS and GINS. The system was deployed at KAIST, Daejeon campus, and now an in- and-outdoor integrated navigation service is available at KAIST campus area. The successful launch of KAILOS foretells that the GIPS and GINS are becoming a reality.