Target-free recognition of cable vibration in complex backgrounds based on computer vision

Wang, Weidong; Cui, Depeng; Ai, Chengbo; Zaheer, Qasim; Wang, Jin; Qiu, Shi; Li, Fēi; Xiong, Jian-Ping

doi:10.1016/j.ymssp.2023.110392

Cited by 13 publications

(2 citation statements)

References 46 publications

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“…With regard to bridge damage detection based on CV technology, Feng et al [ 22 ] measured the displacement of multiple points of a test girder, and identified the damage to the test girder through the changes in the mode shape observed before and after the damage. Xu et al [ 206 ] projected a visible laser line onto the damaged girder, extracted the curvature mode by tracking the laser line in the modal test, and determined the location and size of the damage according to the change in the curvature mode.…”

Section: Cv-based Vibration Measurementmentioning

confidence: 99%

“…In recent years, with the continuous advancement of CV techniques and image acquisition equipment, CV-based bridge inspection and monitoring methods have emerged and have been validated in practical engineering applications [ 19 , 20 , 21 , 22 , 23 ]. They have attracted the attention of researchers and engineers due to their advantages, such as being low-cost, simple to operate, remote, and non-contact [ 24 ].…”

Section: Introductionmentioning

confidence: 99%

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Computer Vision-Based Bridge Inspection and Monitoring: A Review

Luo,

Kong,

Zhang

et al. 2023

Sensors

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Bridge inspection and monitoring are usually used to evaluate the status and integrity of bridge structures to ensure their safety and reliability. Computer vision (CV)-based methods have the advantages of being low cost, simple to operate, remote, and non-contact, and have been widely used in bridge inspection and monitoring in recent years. Therefore, this paper reviews three significant aspects of CV-based methods, including surface defect detection, vibration measurement, and vehicle parameter identification. Firstly, the general procedure for CV-based surface defect detection is introduced, and its application for the detection of cracks, concrete spalling, steel corrosion, and multi-defects is reviewed, followed by the robot platforms for surface defect detection. Secondly, the basic principle of CV-based vibration measurement is introduced, followed by the application of displacement measurement, modal identification, and damage identification. Finally, the CV-based vehicle parameter identification methods are introduced and their application for the identification of temporal and spatial parameters, weight parameters, and multi-parameters are summarized. This comprehensive literature review aims to provide guidance for selecting appropriate CV-based methods for bridge inspection and monitoring.

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Section: Cv-based Vibration Measurementmentioning

confidence: 99%