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http://dx.doi.org/10.6109/jkiice.2016.20.10.1994

Sensor Fusion for Seamless Localization using Mobile Device Data  

Kim, Jung-yee (Department of Port Logistics System, TongMyong University)
Abstract
Technology that can determine the location of individuals is required in a variety of applications such as location based control, a personalized advertising. Missing-child prevention and support for field trips, and applications such as push events based on the user's location is endless. In particular, the technology that can determine the location without interruption in the indoor and outdoor spaces have been studied a lot recently. Because emphasizing on accuracy of the positioning, many conventional research have constraints such as using of additional sensing devices or special mounting devices. The algorithm proposed in this paper has the purpose of performing the positioning only with standard equipment of the smart phone that has the most users. In this paper, sensor Fusion with GPS, WiFi Radio Map, Accelerometer sensor and Particle Filter algorithm is designed and implemented. Experimental results of this algorithm shows superior performance than the other compared algorithm. This could confirm the possibility of using proposed algorithm on actual environment.
Keywords
Localization; Sensor Fusion; GPS; WiFi Radio Map; Accelerometer; Particle Filter;
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