Integrated Bluetooth Fingerprinting and Pedestrian Dead Reckoning for Indoor Positioning on Apple’s iOS platform

DOI

10.2991/icmmcce-15.2015.473How to use a DOI?

Keywords

Fingerprinting positioning, hybrid positioning, indoor position, Bluetooth, pedestrian dead reckoning

Abstract

In this paper, we propose an innovative and low-cost hybrid indoor positioning system using various sensors on the mobile platform. This system consists of a pedestrian dead reckoning (PDR) part based on the encapsulated Application Programming Interface (API) of Apple’s iOS platform and a low-cost Bluetooth Low Energy (BLE) fingerprinting calibration part. Pedestrian position information can be deduced from the PDR algorithm by applying distance and heading estimation and can be calibrated by a fingerprinting positioning matching algorithm. This hybrid positioning system improves the performance of the conventional PDR position algorithm which suffers from accumulated errors over time. Finally, the results obtained from evaluation test indicate that the proposed positioning system applying hybrid techniques is practical in indoor environment.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Qiuhao YuTian
AU  - Fuqiang Liu
AU  - Danqing SHI
PY  - 2015/12
DA  - 2015/12
TI  - Integrated Bluetooth Fingerprinting and Pedestrian Dead Reckoning for Indoor Positioning on Apple’s iOS platform
BT  - Proceedings of the 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering 2015
PB  - Atlantis Press
SP  - 867
EP  - 870
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmcce-15.2015.473
DO  - 10.2991/icmmcce-15.2015.473
ID  - YuTian2015/12
ER  -