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Proceedings Paper

Singularity detection in FOG-based pavement data by wavelet transform
Author(s): Dandan Yang; Lixin Wang; Wenbin Hu; Zhen Zhang; Jinghua Fu; Weibing Gan
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Paper Abstract

The angular velocity data of Fiber-Optic Gyro (FOG) has been analyzed to locate the singularity by the wavelet transform (WT) method. By using WT analysis method to decompose and reconstruct the signal of pavement data collecting by the FOG, the different types of pavement singularities can be extracted. The experiments are conducted on different road surfaces. The experimental results show that the locations of bumps and expansion joints have been obtained, with a relative precision of 0.5 m and an absolute precision of 2 m over 2.4 km. The characteristic of the pavement roughness can also be identified.

Paper Details

Date Published: 23 April 2017
PDF: 4 pages
Proc. SPIE 10323, 25th International Conference on Optical Fiber Sensors, 1032389 (23 April 2017); doi: 10.1117/12.2265514
Show Author Affiliations
Dandan Yang, Wuhan Univ. of Technology (China)
Lixin Wang, Wuhan Univ. of Technology (China)
Wenbin Hu, Wuhan Univ. of Technology (China)
Zhen Zhang, Wuhan Univ. of Technology (China)
Jinghua Fu, Wuhan Univ. of Technology (China)
Weibing Gan, Wuhan Univ. of Technology (China)


Published in SPIE Proceedings Vol. 10323:
25th International Conference on Optical Fiber Sensors
Youngjoo Chung; Wei Jin; Byoungho Lee; John Canning; Kentaro Nakamura; Libo Yuan, Editor(s)

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