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A self-developed indoor three-dimensional pedestrian localization platform based on MEMS sensors

Shengbo Sang (MicroNano System Research Center, College of Information Engineering, Taiyuan University of Technology, Taiyuan, China AND Key Laboratory of Advanced Transducers and Intelligent Control System, Ministry of Education, Taiyuan University of Technology, Taiyuan, China)
Ruiyong Zhai (MicroNano System Research Center, College of Information Engineering, Taiyuan University of Technology, Taiyuan, China AND Key Laboratory of Advanced Transducers and Intelligent Control System, Ministry of Education, Taiyuan University of Technology, Taiyuan, China AND Department of Precision Instruments and Mechanology, Tsinghua University, Beijing, China)
Wendong Zhang (MicroNano System Research Center, College of Information Engineering, Taiyuan University of Technology, Taiyuan, China AND Key Laboratory of Advanced Transducers and Intelligent Control System, Ministry of Education, Taiyuan University of Technology, Taiyuan, China)
Qirui Sun (Department of Precision Instruments and Mechanology, Tsinghua University, Beijing, China)
Zhaoying Zhou (Department of Precision Instruments and Mechanology, Tsinghua University, Beijing,China)

Sensor Review

ISSN: 0260-2288

Publication date: 16 March 2015

Abstract

Purpose

This study aims to design a new low-cost localization platform for estimating the location and orientation of a pedestrian in a building. The micro-electro-mechanical systems (MEMS) sensor error compensation and the algorithm were improved to realize the localization and altitude accuracy.

Design/methodology/approach

The platform hardware was designed with common low-performance and inexpensive MEMS sensors, and with a barometric altimeter employed to augment altitude measurement. The inertial navigation system (INS) – extended Kalman filter (EKF) – zero-velocity updating (ZUPT) (INS-EKF-ZUPT [IEZ])-extended methods and pedestrian dead reckoning (PDR) (IEZ + PDR) algorithm were modified and improved with altitude determined by acceleration integration height and pressure altitude. The “AND” logic with acceleration and angular rate data were presented to update the stance phases.

Findings

The new platform was tested in real three-dimensional (3D) in-building scenarios, achieved with position errors below 0.5 m for 50-m-long route in corridor and below 0.1 m on stairs. The algorithm is robust enough for both the walking motion and the fast dynamic motion.

Originality/value

The paper presents a new self-developed, integrated platform. The IEZ-extended methods, the modified PDR (IEZ + PDR) algorithm and “AND” logic with acceleration and angular rate data can improve the high localization and altitude accuracy. It is a great support for the increasing 3D location demand in indoor cases for universal application with ordinary sensors.

Keywords

Acknowledgements

This work was financially supported by the National Natural Science Foundation of China (No. 91123036, 51105267), the National Research Foundation for the Doctoral Program of Higher Education of China (Grant No. 20111402120007), Basic Research Priorities Program of Shanxi for Youths (Grant No. 2012021013-1), Shanxi Scholarship Council of China (under Grant No. 2010-030), the China Postdoctoral Science Foundation (No. 2011M500542, 2012T50248), National 863 project (2013AA041109) and the Shanxi Provincial Foundation for Returned Scholars.

Citation

Sang, S., Zhai, R., Zhang, W., Sun, Q. and Zhou, Z. (2015), "A self-developed indoor three-dimensional pedestrian localization platform based on MEMS sensors", Sensor Review, Vol. 35 No. 2, pp. 157-167. https://doi.org/10.1108/SR-07-2014-682

Publisher

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Emerald Group Publishing Limited

Copyright © 2015, Emerald Group Publishing Limited