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Detecting Turns and Correcting Headings Using Low-Cost INS

Published online by Cambridge University Press:  27 July 2017

Mohd Nazrin Muhammad Open the ORCID record for Mohd Nazrin Muhammad [Opens in a new window] ,
Zoran Salcic  and
Kevin I-Kai Wang
Mohd Nazrin Muhammad*
Affiliation:
(Department of Electrical & Computer Engineering, University of Auckland, New Zealand) (Department of Robotics & Automation, Universiti Teknikal Malaysia Melaka, Malaysia)
Zoran Salcic
Affiliation:
(Department of Electrical & Computer Engineering, University of Auckland, New Zealand)
Kevin I-Kai Wang
Affiliation:
(Department of Electrical & Computer Engineering, University of Auckland, New Zealand)
*
(E-mail: [email protected])
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Abstract

Unlike industrial-grade Inertial Navigation Sensors (INSs) that can provide credible tracking performance, more affordable consumer-grade low-cost INSs produce drifts in heading angles and positions that result in a poor tracking accuracy. Researchers have proposed drift correction methods that attempt to attenuate the drifts when walking straight along the dominant directions is detected. While determining the type of a pedestrian's walk is essential before the heading corrections are made, the current detection techniques heavily rely on thresholding. This paper proposes a novel threshold-less method to detect turns in walking by using pelvic rotation and correct the heading angle based on consumer-grade INSs. The experiments indicate the proposed turn detector and heading correction methods produce very good results which can be applied for future pedestrian tracking, activity recognition or rehabilitation.

Keywords

Heading correctionPelvic rotationTurn detectionZero-velocity update
Type
Research Article
Information
The Journal of Navigation , Volume 71 , Issue 1 , January 2018 , pp. 189 - 207
Copyright
Copyright © The Royal Institute of Navigation 2017 

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