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UAV vision-based crack quantification and visualization of bridges: system design and engineering application

Author(s): ORCID (School of Safety Engineering and Emergency Management, Shijiazhuang Tiedao University, Shijiazhuang, China)
(School of Safety Engineering and Emergency Management, Shijiazhuang Tiedao University, Shijiazhuang, China)
(School of Safety Engineering and Emergency Management, Shijiazhuang Tiedao University, Shijiazhuang, China)
(School of Civil Engineering, Shijiazhuang Tiedao University, Shijiazhuang, China)
ORCID (School of Safety Engineering and Emergency Management, Shijiazhuang Tiedao University, Shijiazhuang, China)
(School of Civil Engineering, Southwest Jiaotong University, Chengdu, Sichuan, China)
(School of Electrical and Electronic Engineering, Shijiazhuang Tiedao University, Shijiazhuang, China)
(School of Safety Engineering and Emergency Management, Shijiazhuang Tiedao University, Shijiazhuang, China)
(Key Laboratory of Nondestructive Testing, Ministry of Education, Nanchang Hangkong University, Nanchang, Jiangxi, China)
(School of Safety Engineering and Emergency Management, Shijiazhuang Tiedao University, Shijiazhuang, China)
(Shuohuang Railway Development Co., Ltd., Suning, China)
(China Railway Design Group Co., Ltd., Tianjin, China)
Medium: journal article
Language(s): English
Published in: Structural Health Monitoring
DOI: 10.1177/14759217241251778
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: 10.1177/14759217241251778.
  • About this
    data sheet
  • Reference-ID
    10789359
  • Published on:
    20/06/2024
  • Last updated on:
    20/06/2024
 
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