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A deep neural network-based vehicle re-identification method for bridge load monitoring

Author(s): (State Key Laboratory of Safety and Health for In-service Long Span Bridges, Jiangsu Transportation Research Institute, Nanjing, People’s Republic of China)
(Key Laboratory of Smart Prevention and Mitigation of Civil Engineering Disasters of the Ministry of Industry and Information Technology, School of Civil Engineering, Harbin Institute of Technology, Harbin, China)
(State Key Laboratory of Safety and Health for In-service Long Span Bridges, Jiangsu Transportation Research Institute, Nanjing, People’s Republic of China)
ORCID (Key Laboratory of Smart Prevention and Mitigation of Civil Engineering Disasters of the Ministry of Industry and Information Technology, School of Civil Engineering, Harbin Institute of Technology, Harbin, China)
ORCID (Key Laboratory of Smart Prevention and Mitigation of Civil Engineering Disasters of the Ministry of Industry and Information Technology, School of Civil Engineering, Harbin Institute of Technology, Harbin, China)
Medium: journal article
Language(s): English
Published in: Advances in Structural Engineering, , n. 16, v. 24
Page(s): 136943322110339
DOI: 10.1177/13694332211033956
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: 10.1177/13694332211033956.
  • About this
    data sheet
  • Reference-ID
    10624457
  • Published on:
    26/08/2021
  • Last updated on:
    07/01/2022
 
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