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Intelligent pixel‐level detection of multiple distresses and surface design features on asphalt pavements

Author(s): (School of Civil Engineering Southwest Jiaotong University Chengdu China)
(School of Civil and Environmental Engineering Oklahoma State University Oklahoma USA)
(School of Civil and Environmental Engineering Oklahoma State University Oklahoma USA)
(School of Civil Engineering Southwest Jiaotong University Chengdu China)
(School of Civil and Environmental Engineering Oklahoma State University Oklahoma USA)
(School of Civil and Environmental Engineering Oklahoma State University Oklahoma USA)
(School of Civil Engineering Southwest Jiaotong University Chengdu China)
(School of Civil Engineering Southwest Jiaotong University Chengdu China)
(School of Civil Engineering Southwest Jiaotong University Chengdu China)
(School of Civil Engineering Southwest Jiaotong University Chengdu China)
(School of Civil Engineering Southwest Jiaotong University Chengdu China)
(School of Civil Engineering Southwest Jiaotong University Chengdu China)
Medium: journal article
Language(s): English
Published in: Computer-Aided Civil and Infrastructure Engineering, , n. 13, v. 37
Page(s): 1654-1673
DOI: 10.1111/mice.12909
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: 10.1111/mice.12909.
  • About this
    data sheet
  • Reference-ID
    10690976
  • Published on:
    24/09/2022
  • Last updated on:
    10/12/2022
 
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