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Sensors 2016, 16(12), 2135;

An Indoor Positioning Method for Smartphones Using Landmarks and PDR

Department of Computer Science and Technology, Ocean University of China, Qingdao 266100, China
Department of Computer Foundation, Ocean University of China, Qingdao 266100, China
Information Center, Administration for Industry and Commerce of Qingdao, Qingdao 266071, China
This paper is an extended version of our paper published in Wang, X.; Jiang, M.; Guo, Z.; Hu, N.; Sun, Z.; Liu, J. LaP: Landmark-Aided PDR on Smartphones for Indoor Mobile Positioning. In Big Data Computing and Communications; Springer: Berlin/Heidelberg, Germany, 2016.
These authors contributed equally to this work.
Author to whom correspondence should be addressed.
Academic Editor: Yu Wang
Received: 31 August 2016 / Revised: 30 November 2016 / Accepted: 6 December 2016 / Published: 15 December 2016
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Recently location based services (LBS) have become increasingly popular in indoor environments. Among these indoor positioning techniques providing LBS, a fusion approach combining WiFi-based and pedestrian dead reckoning (PDR) techniques is drawing more and more attention of researchers. Although this fusion method performs well in some cases, it still has some limitations, such as heavy computation and inconvenience for real-time use. In this work, we study map information of a given indoor environment, analyze variations of WiFi received signal strength (RSS), define several kinds of indoor landmarks, and then utilize these landmarks to correct accumulated errors derived from PDR. This fusion scheme, called Landmark-aided PDR (LaP), is proved to be light-weight and suitable for real-time implementation by running an Android application designed for the experiment. We compared LaP with other PDR-based fusion approaches. Experimental results show that the proposed scheme can achieve a significant improvement with an average accuracy of 2.17 m. View Full-Text
Keywords: indoor positioning; PDR; landmarks; fusion indoor positioning; PDR; landmarks; fusion

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Wang, X.; Jiang, M.; Guo, Z.; Hu, N.; Sun, Z.; Liu, J. An Indoor Positioning Method for Smartphones Using Landmarks and PDR. Sensors 2016, 16, 2135.

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