Automated crack detection and mapping of bridge decks using deep learning and drones-Reference-Cited by-同舟云学术

Automated crack detection and mapping of bridge decks using deep learning and drones

Published:2024-01-08 Issue:3 Volume:14 Page:729-743
ISSN:2190-5452
Container-title:Journal of Civil Structural Health Monitoring
language:en
Short-container-title:J Civil Struct Health Monit

Author:

Hu Da^ORCID,Yee Tien,Goff Dale

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s13349-023-00750-0.pdf

Reference39 articles.

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3. ElSafty A, Abdel-Mohti A (2013) Investigation of likelihood of cracking in reinforced concrete bridge decks. Int J Concr Struct Mater 7:79–93. https://doi.org/10.1007/s40069-013-0034-3

4. Abdelkhalek S, Zayed T (2020) Comprehensive inspection system for concrete bridge deck application: current situation and future needs. J Perform Constr Facil 34:03120001. https://doi.org/10.1061/(ASCE)CF.1943-5509.0001484

5. Hu D, Yee T (2023) Integrated framework for bridge crack detection and semantic bim model generation using drone-captured imagery and deep learning techniques. ASCE Inspire. https://doi.org/10.1061/9780784485163.02

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