A crowdsourcing-based global indoor positioning and navigation system |
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| Affiliation: | 1. Physics Department, Savitribai Phule Pune University, Pune 411007, India;2. Theoretical Division and Center for Nonlinear Studies, Los Alamos National Laboratory, Los Alamos, NM 87545, USA;1. Department of Anesthesia and Critical Care, Hull Royal Infirmary, Kingston upon Hull, United Kingdom;2. Department of Trauma and Orthopaedics, Hull Royal Infirmary, Kingston upon Hull, United Kingdom;3. Hull and York Medical School, University of York, York, United Kingdom |
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| Abstract: | 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. |
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| Keywords: | Global indoor positioning and navigation Radio map Positioning algorithm Crowdsourcing |
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