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A non‐contact identification method of overweight vehicles based on computer vision and deep learning

Author(s): (Key Laboratory of Urban Security and Disaster Engineering of Ministry of Education, Beijing University of Technology Beijing China)
(Key Laboratory of Urban Security and Disaster Engineering of Ministry of Education, Beijing University of Technology Beijing China)
(Key Laboratory of Urban Security and Disaster Engineering of Ministry of Education, Beijing University of Technology Beijing China)
(Bridge and Tunnel Research Center Research Institute of Highway Ministry of Transport Beijing China)
(Bridge and Tunnel Research Center Research Institute of Highway Ministry of Transport Beijing China)
Medium: journal article
Language(s): English
Published in: Computer-Aided Civil and Infrastructure Engineering, , n. 22, v. 39
Page(s): 3452-3476
DOI: 10.1111/mice.13299
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.13299.
  • About this
    data sheet
  • Reference-ID
    10791626
  • Published on:
    01/09/2024
  • Last updated on:
    10/11/2024
 
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