Computer Vision-Based Bridge Inspection and Monitoring: A Review

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 bridg...

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Bibliographic Details
Published in:Sensors (Basel, Switzerland) Switzerland), 2023-09, Vol.23 (18), p.7863
Main Authors: Luo, Kui, Kong, Xuan, Zhang, Jie, Hu, Jiexuan, Li, Jinzhao, Tang, Hao
Format: Article
Language:English
Subjects:
Algorithms
bridge inspection and monitoring
Bridges
Cameras
Classification
Computer vision
Concrete
Corrosion
damage detection
Defects
displacement measurement
Efficiency
Machine vision
Methods
modal identification
Parameter identification
Review
Robots
Steel
surface defect detection
Unmanned aerial vehicles
Vehicles
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Summary: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.
ISSN:1424-8220
1424-8220
DOI:10.3390/s23187863