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Assessment of the Resilience of Pedestrian Roads based on Image Deep Learning Models

Author(s): (Department of Transportation Engineering, University of Seoul, Seoul, Republic of Korea)
(Department of Transportation Engineering/Department of Smart Cities, University of Seoul, Seoul, Republic of Korea)
(Department of Transportation Engineering/Department of Smart Cities, University of Seoul, Seoul, Republic of Korea)
(Department of Transportation Engineering, University of Seoul, Seoul, Republic of Korea)
(Department of Transportation Engineering, University of Seoul, Seoul, Republic of Korea)
Medium: journal article
Language(s): English
Published in: Proceedings of the Institution of Civil Engineers - Municipal Engineer, , n. 3, v. 175
Page(s): 1-41
DOI: 10.1680/jmuen.21.00037
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: 10.1680/jmuen.21.00037.
  • About this
    data sheet
  • Reference-ID
    10658461
  • Published on:
    17/02/2022
  • Last updated on:
    10/12/2022
 
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