A Review of Computer Vision-Based Structural Deformation Monitoring in Field Environments

Computer vision-based structural deformation monitoring techniques were studied in a large number of applications in the field of structural health monitoring (SHM). Numerous laboratory tests and short-term field applications contributed to the formation of the basic framework of computer vision def...

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Vydáno v:Sensors (Basel, Switzerland) Ročník 22; číslo 10; s. 3789
Hlavní autoři: Zhuang, Yizhou, Chen, Weimin, Jin, Tao, Chen, Bin, Zhang, He, Zhang, Wen
Médium: Journal Article
Jazyk:angličtina
Vydáno: Switzerland MDPI AG 16.05.2022
MDPI
Témata:
Accuracy
Algorithms
Artificial Intelligence
Calibration
Cameras
Civil engineering
Computer vision
Computers
Deformation
environmental impact
field environment
Global positioning systems
GPS
Lasers
Light
Liu, Timothy
Machine vision
Monitoring systems
Review
Sensors
Strain gauges
structural deformation monitoring
target tracking algorithm impact
Vision, Ocular
Germany
environmental impact
target tracking algorithm impact
structural deformation monitoring
field environment
computer vision
ISSN:1424-8220, 1424-8220
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Shrnutí:Computer vision-based structural deformation monitoring techniques were studied in a large number of applications in the field of structural health monitoring (SHM). Numerous laboratory tests and short-term field applications contributed to the formation of the basic framework of computer vision deformation monitoring systems towards developing long-term stable monitoring in field environments. The major contribution of this paper was to analyze the influence mechanism of the measuring accuracy of computer vision deformation monitoring systems from two perspectives, the physical impact, and target tracking algorithm impact, and provide the existing solutions. Physical impact included the hardware impact and the environmental impact, while the target tracking algorithm impact included image preprocessing, measurement efficiency and accuracy. The applicability and limitations of computer vision monitoring algorithms were summarized.
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ISSN:1424-8220
1424-8220
DOI:10.3390/s22103789