Technical Papers
May 22, 2017

Laser-Aided INS and Odometer Navigation System for Subway Track Irregularity Measurement

Publication: Journal of Surveying Engineering
Volume 143, Issue 4

Abstract

Track irregularity is one of the most important factors in the regular maintenance and overhaul work needed to determine the state of a railway for safe operation. In this paper, a mobile approach to the measurement of subway track irregularity is proposed. A high-precision three-dimensional (3D) curve of railway track was surveyed by a track trolley equipped with a laser-aided inertial navigation system (INS)/odometer navigation system. Models for measuring the alignment, vertical, cant, and twist irregularities were established. These four types of irregularities were estimated using the 3D track curve. To solve the problem of inherent drift of the INS/odometer system, a laser scanner on the trolley was used to obtain observations of control points along the rail track for position updates. Measurements of real track irregularities were conducted to validate the proposed method. The experimental results indicate that this approach has good repeatability. The accuracy of track-irregularity measurements meets the technical requirements of the Shenzhen Metro in China.

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Acknowledgments

The authors express their gratitude to Professor Yong Liu and Dr. Zhimin Xiong at Wuhan University for hardware design and experimental data collection. The authors thank Dr. Qijin Chen at Wuhan University for providing reference papers. The authors’ deepest gratitude goes to the anonymous reviewers for their careful work and thoughtful suggestions, which have helped improve this paper substantially. This research is supported by the National Natural Science Foundation of China (Grants 41371377 and 91546106), the Shenzhen Future Industry Development Funding Program (Grant 201507211219247860), the National Natural Science Foundation of China (Grant 41271452), and Key Technologies R&D Program of China (Grant 2015BAK03B04).

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Published In

Go to Journal of Surveying Engineering
Journal of Surveying Engineering
Volume 143Issue 4November 2017

History

Received: Apr 7, 2016
Accepted: Mar 9, 2017
Published online: May 22, 2017
Discussion open until: Oct 22, 2017
Published in print: Nov 1, 2017

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Authors

Affiliations

Qingquan Li [email protected]
Professor, State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan Univ., Wuhan 430079, China. E-mail: [email protected]
Zhipeng Chen [email protected]
Ph.D. Candidate, State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan Univ., Wuhan 430079, China (corresponding author). E-mail: [email protected]
Professor, School of Remote Sensing and Information Engineering, Wuhan Univ., Wuhan 430079, China. E-mail: [email protected]
Liang Zhang [email protected]
Engineer, State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan Univ., Wuhan 430079, China. E-mail: [email protected]

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