Paired Structured Light for Structural Health Monitoring Robot System

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dc.contributor.authorMyung, Hyun-
dc.contributor.authorLee, Seungmok-
dc.contributor.authorLee, Bumjoo-
dc.date.accessioned2011-08-17-
dc.date.available2011-08-17-
dc.date.issued2010-03-23-
dc.identifier.citationStructural Health Monitoringen
dc.identifier.issn1475-9217-
dc.identifier.urihttp://hdl.handle.net/10203/24912-
dc.description.abstractThe displacement measurement in structural health monitoring (SHM), though important, was not popular due to inaccessibility of the civil infrastructures and high installation cost. The currently popular approaches use accelerometer, strain gauge, PZT, GPS, etc., most of which indirectly measure the displacement and require high cost to install and maintain. Thus the development of SHM system that directly measures the displacement of the structure using low-cost sensors is urgently needed. In this article, a multiple paired structured light (SL) system is proposed as a displacement measurement system for a massive structure. The proposed paired SL module which consists of cheap cameras and lasers is inexpensive to implement and can directly measure the accurate relative displacement between any two locations on the structure. Based on various simulations, a minimal configuration of the paired SL module is found. And Newton–Raphson and extended Kalman filter-based displacement estimation methods are proposed by deriving a kinematic equation and its constraints. By building a prototype of the paired SL module, some real experiments are performed to show the feasibility of the system for long-span structural displacement measurement.en
dc.description.sponsorshipThis work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MEST) [grant number 2009-0075397].en
dc.language.isoen_USen
dc.publisherSAGEen
dc.subjectSHMen
dc.subjectDisplacementen
dc.subjectRoboten
dc.subjectStructured Lighten
dc.subjectLaseren
dc.subjectVisionen
dc.titlePaired Structured Light for Structural Health Monitoring Robot Systemen
dc.typeArticleen
dc.identifier.doi10.1177/1475921710365413-
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