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Sensors 2018, 18(12), 4285; https://doi.org/10.3390/s18124285

Low-Cost Indoor Positioning Application Based on Map Assistance and Mobile Phone Sensors

1
Department of Environmental Information and Engineering, Chung Cheng Institute of Technology, National Defense University, Taoyuan 33551, Taiwan
2
Department of Land Economics, National Chengchi University, Taipei 11605, Taiwan
*
Author to whom correspondence should be addressed.
Received: 29 October 2018 / Revised: 26 November 2018 / Accepted: 3 December 2018 / Published: 5 December 2018
(This article belongs to the Section Physical Sensors)
Full-Text   |   PDF [7848 KB, uploaded 5 December 2018]   |  

Abstract

Current mainstream navigation and positioning equipment, intended for providing accurate positioning signals, comprise global navigation satellite systems, maps, and geospatial databases. Although global navigation satellite systems have matured and are widespread, they cannot provide effective navigation and positioning services in covered areas or areas lacking strong signals, such as indoor environments. To solve the problem of positioning in environments lacking satellite signals and achieve cost-effective indoor positioning, this study aimed to develop an inexpensive indoor positioning program, in which the positions of users were calculated by pedestrian dead reckoning (PDR) using the built-in accelerometer and gyroscope in a mobile phone. In addition, the corner and linear calibration points were established to correct the positions with the map assistance. Distance, azimuth, and rotation angle detections were conducted for analyzing the indoor positioning results. The results revealed that the closure accuracy of the PDR positioning was enhanced by more than 90% with a root mean square error of 0.6 m after calibration. Ninety-four percent of the corrected PDR positioning results exhibited errors of <1 m, revealing a desk-level positioning accuracy. Accordingly, this study successfully combined mobile phone sensors with map assistance for improving indoor positioning accuracy. View Full-Text
Keywords: indoor positioning; mobile phone sensors; pedestrian dead reckoning (PDR); map assistance indoor positioning; mobile phone sensors; pedestrian dead reckoning (PDR); map assistance
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Li, Y.-S.; Ning, F.-S. Low-Cost Indoor Positioning Application Based on Map Assistance and Mobile Phone Sensors. Sensors 2018, 18, 4285.

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