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Automatic intelligent recognition of pavement distresses with limited dataset using generative adversarial networks

  • Published:2023-02 Issue: Volume:146 Page:104674
  • ISSN:0926-5805
  • Container-title:Automation in Construction
  • language:en
  • Short-container-title:Automation in Construction

Author:

Liu Zhuo,Pan Shuo,Gao Zhiwei,Chen Ning,Li Feng,Wang Linbing,Hou Yue

Publisher

Elsevier BV

Subject

Building and Construction,Civil and Structural Engineering,Control and Systems Engineering

Reference45 articles.

1. Detection of defects in road surface by a vision system;Sy,2008

2. Automated assessment of cracks on concrete surfaces using adaptive digital image processing;Liu;Smart Struct. Syst.,2014

3. Dynamic programming and connected component analysis for an enhanced pavement distress segmentation algorithm;Huang;Transp. Res. Rec.,2011

4. A vision-based system for traffic anomaly detection using deep learning and decision trees;Aboah,2021

5. The state-of-the-art review on applications of intrusive sensing, image processing techniques, and machine learning methods in pavement monitoring and analysis;Hou;Engineering,2021
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