Modern Crack Detection for Bridge Infrastructure Maintenance Using Machine Learning

Modern Crack Detection for Bridge Infrastructure Maintenance Using Machine Learning

Abstract Manual investigation of damages incurred to infrastructure is a challenging process, in that it is not only labour-intensive and expensive but also inefficient and error-prone. To automate the process, a method that is based on computer vision for automatically detecting cracks from 2D imag...

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Bibliographic Details
Main Authors: Hafiz Suliman Munawar, Ahmed W. A. Hammad, S. Travis Waller, Md Rafiqul Islam
Format: Article
Language:English
Published: Springer Nature 2022-09-01
Series:Human-Centric Intelligent Systems
Subjects:
Damage detection
Crack detection
Flood disaster
Machine learning
Convolutional neural networks
Cycle generative adversarial network (CycleGAN)
Online Access:https://doi.org/10.1007/s44230-022-00009-9

Internet

https://doi.org/10.1007/s44230-022-00009-9

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