Vision-based structural displacement measurement: System performance evaluation and influence factor analysis
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TLDR
In this article, a vision-based structural displacement measurement system integrated with a digital image processing approach is developed, which is evaluated by comparing the results simultaneously obtained by the visionbased system and those measured by the magnetostrictive displacement sensor.About:
This article is published in Measurement.The article was published on 2016-06-01 and is currently open access. It has received 85 citations till now. The article focuses on the topics: Machine vision & Structural health monitoring.read more
Citations
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Advances in Computer Vision-Based Civil Infrastructure Inspection and Monitoring
TL;DR: An overview of recent advances in computer vision techniques as they apply to the problem of civil infrastructure condition assessment and some of the key challenges that persist toward the goal of automated vision-based civil infrastructure and monitoring are presented.
Journal ArticleDOI
Computer vision for SHM of civil infrastructure: From dynamic response measurement to damage detection – A review
Dongming Feng,Maria Q. Feng +1 more
TL;DR: This review paper is intended to summarize the collective experience that the research community has gained from the recent development and validation of the vision-based sensors for structural dynamic response measurement and SHM.
Journal ArticleDOI
A literature review of next-generation smart sensing technology in structural health monitoring
TL;DR: The state‐of‐the‐art methods have been presented by conducting a detailed literature review of the recent applications of smartphones, UAVs, cameras, and robotic sensors used in acquiring and analyzing the vibration data for structural condition monitoring and maintenance.
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A Review of Machine Vision-Based Structural Health Monitoring: Methodologies and Applications
TL;DR: The purpose of this review article is devoted to presenting a summary of the basic theories and practical applications of the machine vision-based technology employed in structural monitoring as well as its systematic error sources and integration with other modern sensing techniques.
Journal ArticleDOI
Structural displacement monitoring using deep learning-based full field optical flow methods
TL;DR: This study proposes a novel structural displacement measurement method using deep learning-based full field optical flow methods that gives higher accuracy than the traditional optical flow algorithm and shows consistent results in compliance with displacement sensor measurements.
References
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Journal ArticleDOI
Systematic errors in digital image correlation caused by intensity interpolation
TL;DR: It is shown that the position-dependent bias in a numerical study can lead to apparent strains of the order of 40% of the actual strain level, and methods are presented to reduce this bias to acceptable levels.
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Systematic errors in digital image correlation due to undermatched subset shape functions
TL;DR: In this paper, the systematic errors that arise from the use of undermatched shape functions, i.e., shape functions of lower order than the actual displacement field, are analyzed, under certain conditions, the shape functions used can be approximated by a Savitzky-Golay low-pass filter applied to the displacement functions, permitting a convenient error analysis.
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Quality assessment of speckle patterns for digital image correlation
David Lecompte,Arwen Smits,Sven Bossuyt,Hugo Sol,Johnny Vantomme,D. Van Hemelrijck,Anne Habraken +6 more
TL;DR: A comparison is made between three different speckle patterns originated by the same referenceSpeckle pattern, and it is shown that the size of the speckles combined with thesize of the used pixel subset clearly influences the accuracy of the measured displacements.
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A vision-based approach for the direct measurement of displacements in vibrating systems
TL;DR: In this paper, the authors report the results of an analytical and experimental study to develop, calibrate, implement and evaluate the feasibility of a novel vision-based approach for obtaining direct measurements of the absolute displacement time history at selectable locations of dispersed civil infrastructure systems.
Journal ArticleDOI
Study of optimal subset size in digital image correlation of speckle pattern images
Sun Yaofeng,John H. L. Pang +1 more
TL;DR: In this paper, the authors investigated the effect of subset size, associated with image pattern quality and subset displacement functions, on the accuracy of deformation measurements by digital image correlation (DIC).
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