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Sim, Sung-Han
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Computer Vision-Based Structural Displacement Measurement Robust to Light-Induced Image Degradation for In-Service Bridges

Author(s)
Lee, JunhwaLee, Kyoung-ChanCho, SoojinSim, Sung-Han
Issued Date
2017-10
DOI
10.3390/s17102317
URI
https://scholarworks.unist.ac.kr/handle/201301/23100
Fulltext
http://www.mdpi.com/1424-8220/17/10/2317
Citation
SENSORS, v.17, no.10, pp.2317
Abstract
The displacement responses of a civil engineering structure can provide important information regarding structural behaviors that help in assessing safety and serviceability. A displacement measurement using conventional devices, such as the linear variable differential transformer (LVDT), is challenging owing to issues related to inconvenient sensor installation that often requires additional temporary structures. A promising alternative is offered by computer vision, which typically provides a low-cost and non-contact displacement measurement that converts the movement of an object, mostly an attached marker, in the captured images into structural displacement. However, there is limited research on addressing light-induced measurement error caused by the inevitable sunlight in field-testing conditions. This study presents a computer vision-based displacement measurement approach tailored to a field-testing environment with enhanced robustness to strong sunlight. An image-processing algorithm with an adaptive region-of-interest (ROI) is proposed to reliably determine a marker's location even when the marker is indistinct due to unfavorable light. The performance of the proposed system is experimentally validated in both laboratory-scale and field experiments.
Publisher
MDPI AG
ISSN
1424-8220
Keyword (Author)
adaptive ROIcomputer visiondisplacement
Keyword
VIRTUAL VISUAL SENSORSMONITORING DYNAMIC-RESPONSECABLE-STAYED BRIDGEDATA FUSIONMEASURED ACCELERATIONSYSTEMIDENTIFICATIONTECHNOLOGYBUILDINGSSTIFFNESS

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