Machine-Aided Bridge Deck Crack Condition State Assessment Using Artificial Intelligence

Machine-Aided Bridge Deck Crack Condition State Assessment Using Artificial Intelligence

The Federal Highway Administration (FHWA) mandates biannual bridge inspections to assess the condition of all bridges in the United States. These inspections are recorded in the National Bridge Inventory (NBI) and the respective state’s databases to manage, study, and analyze the data. As FHWA speci...

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Bibliographic Details
Main Authors: Dyke, S.J (Author), Iturburu, L. (Author), Liu, X. (Author), Poston, R. (Author), Ramirez, J.A (Author), Salmeron, M. (Author), Wogen, B.E (Author), Zhang, X. (Author)
Format: Article
Language:English
Published: MDPI 2023
Subjects:
Bridge inspection
Classification (of information)
Condition state
deep learning
Deep learning
Deep neural networks
Federal Highway Administration
Highway administration
image classification
Image classification
Images classification
Inspection
Learning systems
machine-aided bridge inspection
Machine-aided bridge inspection
Risk assessment
risk management
Risk management
Risks management
semantic segmentation
Semantic segmentation
Semantic Segmentation
Semantics
Specifications
State assessment
Work-flows
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