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Image‐based road crack risk‐informed assessment using a convolutional neural network and an unmanned aerial vehicle

Author(s): ORCID (School of Management Harbin Institute of Technology Harbin 150001 China)
(School of Management Harbin Institute of Technology Harbin 150001 China)
(School of Management Guangzhou University Guangzhou 510006 China)
ORCID (Department of Architecture and Civil Engineering City University of Hong Kong Hong Kong 999077 China)
(School of Civil and Transportation Engineering Guangdong University of Technology Guangzhou 510006 China)
Medium: journal article
Language(s): English
Published in: Structural Control and Health Monitoring, , n. 7, v. 28
DOI: 10.1002/stc.2749
Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1002/stc.2749.
  • About this
    data sheet
  • Reference-ID
    10607162
  • Published on:
    15/05/2021
  • Last updated on:
    29/06/2021
 
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