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A deep learning approach for construction vehicles fill factor estimation and bucket detection in extreme environments

Author(s): (School of Mechanical and Aerospace Engineering Jilin University Changchun China)
(College of Mechanical and Vehicle Engineering Taiyuan University of Technology Taiyuan China)
(State Key Laboratory of Internet of Things for Smart City and Department of Electrical and Computer Engineering University of Macau Macao China)
(School of Mechanical and Aerospace Engineering Jilin University Changchun China)
(School of Mechanical and Aerospace Engineering Jilin University Changchun China)
(School of Mechanical and Aerospace Engineering Jilin University Changchun China)
Medium: journal article
Language(s): English
Published in: Computer-Aided Civil and Infrastructure Engineering, , n. 13, v. 38
Page(s): 1857-1878
DOI: 10.1111/mice.12952
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.12952.
  • About this
    data sheet
  • Reference-ID
    10696425
  • Published on:
    11/12/2022
  • Last updated on:
    02/09/2023
 
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