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Crack Detection and Dimensional Assessment Using Smartphone Sensors and Deep Learning

Author(s): (University of New Brunswick, 3427, Geodesy and Geomatic Engineering, Fredericton, New Brunswick, Canada, ;)
(University of New Brunswick, 3427, Geodesy and Geomatics engineering, Fredericton, New Brunswick, Canada;)
(University of New Brunswick, 3427, Civil Engineering, Fredericton, Canada;)
(Modelar Technologies Ltd, Halifax, Nova Scotia, Canada;)
(New Brunswick Department of Transportation and Infrastructure, 213575, Fredericton, New Brunswick, Canada;)
Medium: journal article
Language(s): English
Published in: Canadian Journal of Civil Engineering / Revue canadienne de génie civil, , n. 11, v. 51
Page(s): 1197-1211
DOI: 10.1139/cjce-2023-0570
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: 10.1139/cjce-2023-0570.
  • About this
    data sheet
  • Reference-ID
    10769009
  • Published on:
    29/04/2024
  • Last updated on:
    10/11/2024
 
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