Experimental validation of cost-effective vision-based structural health monitoring
TL;DR: In this article, the results of laboratory experiments on simply-supported beam structures demonstrate the high accuracy of the vision sensor for dense full-field displacement measurements, and the identified natural frequencies and mode shapes from measurements by using one camera match well with those from an array of accelerometers.
About: This article is published in Mechanical Systems and Signal Processing.The article was published on 2017-05-01. It has received 222 citations till now. The article focuses on the topics: Structural health monitoring & Field of view.
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TL;DR: This article implements the state‐of‐the‐art deep learning technologies for a civil engineering application, namely recognition of structural damage from images with four naïve baseline recognition tasks: component type identification, spalling condition check, damage level evaluation, and damage type determination.
Abstract: This article implements the state‐of‐the‐art deep learning technologies for a civil engineering application, namely recognition of structural damage from images. Inspired by ImageNet Chall...
460 citations
Cites background from "Experimental validation of cost-eff..."
...However, several recent non-DL studies are addressing issues related to relatively tedious manual efforts (Feng and Feng, 2017; Yoon et al., 2016; Yeum and Dyke, 2015; Torok et al., 2013)....
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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.
374 citations
TL;DR: A three‐level image‐based approach for post‐disaster inspection of the reinforced concrete bridge using deep learning with novel training strategies and a principled manner of such selection is proposed, with very promising results (well over 90% accuracies) and robustness are observed on all three‐ level deep learning models.
250 citations
Cites background from "Experimental validation of cost-eff..."
...Much of the research in defect detection and assessment largely focused on cracks (e.g., Abdel-Qader, Abudayyeh, & Kelly, 2003; Feng & Feng, 2017; Torok, Golparvar-Fard, & Kochersberger, 2013; Yamaguchi & Hashimoto 2010; Yeum & Dyke, 2015; Yoon, Comput Aided Civ Inf....
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TL;DR: A general overview of the concepts, approaches, and real-life practice of computer vision–structural health monitoring along with some relevant literature that is rapidly accumulating is presented.
Abstract: Structural health monitoring at local and global levels using computer vision technologies has gained much attention in the structural health monitoring community in research and practice. Due to t...
248 citations
TL;DR: Video-processing procedures in this paper are summarised as a three-component framework: camera calibration, target tracking and structural displacement calculation, with discussions about the relative advantages and limitations.
Abstract: Vision-based systems are promising tools for displacement measurement in civil structures, possessing advantages over traditional displacement sensors in instrumentation cost, installation efforts and measurement capacity in terms of frequency range and spatial resolution. Approximately one hundred papers to date have appeared on this subject, investigating topics like system development and improvement, the viability on field applications and the potential for structural condition assessment. The main contribution of this paper is to present a literature review of vision-based displacement measurement, from the perspectives of methodologies and applications. Video-processing procedures in this paper are summarised as a three-component framework: camera calibration, target tracking and structural displacement calculation. Methods for each component are presented in principle, with discussions about the relative advantages and limitations. Applications in the two most active fields, bridge deformation and cable vibration measurement, are examined followed by a summary of field challenges observed in monitoring tests. Important gaps requiring further investigation are presented, e.g. robust tracking methods, non-contact sensing and measurement accuracy evaluation in field conditions.
190 citations
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TL;DR: A flexible technique to easily calibrate a camera that only requires the camera to observe a planar pattern shown at a few (at least two) different orientations is proposed and advances 3D computer vision one more step from laboratory environments to real world use.
Abstract: We propose a flexible technique to easily calibrate a camera. It only requires the camera to observe a planar pattern shown at a few (at least two) different orientations. Either the camera or the planar pattern can be freely moved. The motion need not be known. Radial lens distortion is modeled. The proposed procedure consists of a closed-form solution, followed by a nonlinear refinement based on the maximum likelihood criterion. Both computer simulation and real data have been used to test the proposed technique and very good results have been obtained. Compared with classical techniques which use expensive equipment such as two or three orthogonal planes, the proposed technique is easy to use and flexible. It advances 3D computer vision one more step from laboratory environments to real world use.
13,200 citations
TL;DR: In this article, a new parameter called curvature mode shape is investigated as a possible candidate for identifying and locating damage in a structure, and it is shown that the absolute changes in the curvature shape are localized in the region of damage and hence can be used to detect damage.
1,924 citations
TL;DR: In this article, the effect of out-of-plane motion on 2D and 3D digital image correlation measurements is demonstrated using basic theoretical pinhole image equations and experimentally through synchronized, multi-system measurements.
588 citations
TL;DR: In this paper, the most current trends in the photogrammetry technique (point tracking, digital image correlation, and target-less approaches) are reviewed and compared to other measurement techniques used in structural dynamics (e.g., laser Doppler vibrometry and interferometry).
365 citations
TL;DR: This study proposed the vision-based system which remotely measures dynamic displacement of bridges in real-time using digital image processing techniques, which has a number of innovative features including a high resolution in dynamic measurement, remote sensing, cost-effectiveness, real- time measurement and visualization, ease of installation and operation and no electro-magnetic interference.
Abstract: This study proposed the vision-based system which remotely measures dynamic displacement of bridges in real-time using digital image processing techniques. This system has a number of innovative features including a high resolution in dynamic measurement, remote sensing, cost-effectiveness, real-time measurement and visualization, ease of installation and operation and no electro-magnetic interference. The digital video camera combined with a telescopic device takes a motion picture of the target installed on a measurement location. Meanwhile, the displacement of the target is calculated using an image processing technique, which requires a target recognition algorithm, projection of the captured image, and calculation of the actual displacement using target geometry and number of pixels moved. For the purpose of verification, a laboratory test using shaking table test and field application on a bridge with open-box girders were carried out. The test results gave sufficient dynamic resolution in frequency as well as the amplitude.
348 citations