Attention-Enhanced Co-Interactive Fusion Network (AECIF-Net) for automated structural condition assessment in visual inspection-Reference-Cited by-同舟云学术

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Attention-Enhanced Co-Interactive Fusion Network (AECIF-Net) for automated structural condition assessment in visual inspection

Published:2024-03 Issue: Volume:159 Page:105292
ISSN:0926-5805
Container-title:Automation in Construction
language:en
Short-container-title:Automation in Construction

Author:

Zhang Chenyu^ORCID,Yin Zhaozheng,Qin Ruwen^ORCID

Funder

National Science Foundation

Publisher

Elsevier BV

Reference56 articles.

1. Visual inspection of highway bridges;Graybeal;J. Nondestruct. Eval.,2002

2. A comparative study of bridge inspection and condition assessment between manpower and a UAS;Kim;Drones,2022

3. Applications of unmanned aerial vehicle (UAV) in road safety, traffic and highway infrastructure management: Recent advances and challenges;Outay;Transp. Res. A,2020

4. Advances in computer vision-based civil infrastructure inspection and monitoring;Spencer;Engineering,2019

5. National bridge inspection standards;Federal Highway Administration,2022

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1. Accelerated Bridge Construction Case: A Novel Low-Carbon and Assembled Composite Bridge Scheme;Buildings;2024-06-19

2. Applications of Machine Learning in Corrosion Detection;2024 6th International Conference on Pattern Analysis and Intelligent Systems (PAIS);2024-04-24

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