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Structural displacement monitoring using deep learning-based full field optical flow methods

Author(s): (Department of Civil, Environmental, and Construction Engineering, University of Central Florida, Orlando, Florida, USA;)
(Department of Civil, Environmental, and Construction Engineering, University of Central Florida, Orlando, Florida, USA;)
(Department of Civil, Environmental, and Construction Engineering, University of Central Florida, Orlando, Florida, USA;)
(The School of Civil Engineering, University College, Dublin, Ireland;;)
(The School of Natural and Built Environment, Queens University Belfast, Belfast, UK)
Medium: journal article
Language(s): English
Published in: Structure and Infrastructure Engineering, , n. 1, v. 16
Page(s): 51-71
DOI: 10.1080/15732479.2019.1650078
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: 10.1080/15732479.2019.1650078.
  • About this
    data sheet
  • Reference-ID
    10684877
  • Published on:
    21/06/2022
  • Last updated on:
    21/06/2022
 
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