Automatic crack recognition for concrete bridges using a fully convolutional neural network and naive Bayes data fusion based on a visual detection system-Reference-Cited by-同舟云学术

Automatic crack recognition for concrete bridges using a fully convolutional neural network and naive Bayes data fusion based on a visual detection system

Published:2020-05-05 Issue:7 Volume:31 Page:075403
ISSN:0957-0233
Container-title:Measurement Science and Technology
language:
Short-container-title:Meas. Sci. Technol.

Author:

Li Gang^ORCID,Liu Qiangwei,Zhao Shanmeng,Qiao Wenting,Ren Xueli

Funder

the Fundamental Research Funds for the Central Universities, CHD

the Key Industry Chains of Shaanxi Technology Committee

Science and Technology Bureau of Xi'an project

Publisher

IOP Publishing

Subject

Applied Mathematics,Instrumentation,Engineering (miscellaneous)

Link

https://iopscience.iop.org/article/10.1088/1361-6501/ab79c8/pdf

Reference37 articles.

1. A UAV for bridge inspection: Visual servoing control law with orientation limits

2. Auto inspection system using a mobile robot for detecting concrete cracks in a tunnel

3. Bridge inspection robot system with machine vision

4. Fast crack detection method for large-size concrete surface images using percolation-based image processing

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