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Title:
Passive sensing and imaging for GIS-PMS: system concept and challenges
Authors:
Boyajian, D.; Chung, H.; Chen, S. E.
Affiliation:
AA(Univ. of North Carolina at Charlotte (USA)), AB(Acellent Technologies, Inc. (USA)), AC(Univ. of North Carolina at Charlotte (USA))
Publication:
Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security 2008. Edited by Shull, Peter J.; Wu, H. Felix; Diaz, Aaron A.; Vogel, Dietmar W. Proceedings of the SPIE, Volume 6934, pp. 69340X-69340X-9 (2008). (SPIE Homepage)
Publication Date:
04/2008
Origin:
SPIE
Abstract Copyright:
(c) 2008: SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.
DOI:
10.1117/12.776268
Bibliographic Code:
2008SPIE.6934E..27B

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.
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