Vision-based fatigue crack detection using global motion compensation and video feature tracking-Reference-Cited by-同舟云学术

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Vision-based fatigue crack detection using global motion compensation and video feature tracking

Published:2023-01 Issue:1 Volume:22 Page:19-39
ISSN:1671-3664
Container-title:Earthquake Engineering and Engineering Vibration
language:en
Short-container-title:Earthq. Eng. Eng. Vib.

Author:

Mojidra Rushil,Li Jian,Mohammadkhorasani Ali,Moreu Fernando,Bennett Caroline,Collins William

Publisher

Springer Science and Business Media LLC

Subject

Mechanical Engineering,Geotechnical Engineering and Engineering Geology,Building and Construction,Civil and Structural Engineering

Link

https://link.springer.com/content/pdf/10.1007/s11803-023-2156-1.pdf

Reference72 articles.

1. Abdel-Qader I, Abudayyeh O and Kelly ME (2003), “Analysis of Edge-Detection Techniques for Crack Identification in Bridges,” Journal of Computing in Civil Engineering, 17(4): 255–263.

2. Al-Salih H, Juno M, Collins W, Bennett C and Li J (2021), “Application of a Digital Image Correlation Bridge Inspection Methodology on Geometrically Complex Bifurcated Distortion-Induced Fatigue Cracking,” Fatigue & Fracture of Engineering Materials & Structures, 44(11): 3186–3201.

3. Amezquita-Sanchez JP and Adeli H (2016), “Signal Processing Techniques for Vibration-Based Health Monitoring of Smart Structures,” Archives of Computational Methods in Engineering, 23(1): 1–15.

4. ARTBA (2020), Bridge Report American Road and Transportation Builder’s Association.

5. Asadollahi P and Li J (2017), “Statistical Analysis of Modal Properties of a Cable-Stayed Bridge Through Long-Term Wireless Structural Health Monitoring,” Journal of Bridge Engineering, 22(9): 04017051.

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1. A reliable unmanned aerial vehicle multi-target tracking system with global motion compensation for monitoring Procapra przewalskii;Ecological Informatics;2024-07

2. Computer Vision and Augmented Reality for Human-Centered Fatigue Crack Inspection;Sensors;2024-06-06

3. Feature Sparse Choosing VIT Model for Efficient Concrete Crack Segmentation in Portable Crack Measuring Devices;Electronics;2024-04-25

4. Augmented reality-computer vision combination for automatic fatigue crack detection and localization;Computers in Industry;2023-08

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