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Proceedings Paper

Passive sensing and imaging for GIS-PMS: system concept and challenges
Author(s): D. Boyajian; H. Chung; S. E. Chen
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Paper Abstract

A GIS-based data management system has been proposed for pavement management due to the spatial capability in organizing diverse geo-referenced information. The technology can be further enhanced by nondestructive distributed sensing. To target a wide study area, this research proposes a low-cost vibro-acousto passive sensing technique that embeds within roadways for long-term sensing. Using self-sustaining MEM sensors, the technology detects acoustic signals and use relative rating to assess pavement conditions. The detection technique echoes the traditional chain-drag technology in that the same sound detection is deployed. Coupling with previously established AMPIS pavement imaging and distress detection technique, the proposed system can evolve to be a more powerful new-generation GIS-PMS. This paper introduces the system concept and describes the philosophy behind the system and some of the challenges that we are currently attempting to solve.

Paper Details

Date Published: 8 April 2008
PDF: 9 pages
Proc. SPIE 6934, Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security 2008, 69340X (8 April 2008); doi: 10.1117/12.776268
Show Author Affiliations
D. Boyajian, Univ. of North Carolina at Charlotte (United States)
H. Chung, Acellent Technologies, Inc. (United States)
S. E. Chen, Univ. of North Carolina at Charlotte (United States)


Published in SPIE Proceedings Vol. 6934:
Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security 2008
Peter J. Shull; H. Felix Wu; Aaron A. Diaz; Dietmar W. Vogel, Editor(s)

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