Rapid and Automatic Image Acquisition System for Structural Surface Defects of High-Speed Rail Tunnels
Author:
Publisher
Springer Science and Business Media LLC
Subject
Civil and Structural Engineering
Link
https://link.springer.com/content/pdf/10.1007/s12205-023-1775-4.pdf
Reference45 articles.
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3. Attard L, Debono CJ, Valentino G, Di Castro M (2018) Vision-based change detection for inspection of tunnel liners. Automation in Construction 91: 142–154, DOI: https://doi.org/10.1016/j.autcon.2018.03.020
4. Attard L, Debono CJ, Valentino G, Di Castro M (2021) Vision-based tunnel lining health monitoring via bi-temporal image comparison and decision-level fusion of change maps. Sensors (Basel) 21:1–20, DOI: https://doi.org/10.3390/s21124040
5. Du L, Zhong R, Sun H, Zhu Q, Zhang Z (2018) Study of the integration of the CNU-TS-1 mobile tunnel monitoring system. Sensors (Switzerland) 18:1–16, DOI: https://doi.org/10.3390/s18020420
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