Unmanned Aerial Vehicle (UAV)-Based Pavement Image Stitching Without Occlusion, Crack Semantic Segmentation, and Quantification

Shan, J., Jiang, W., Huang, Y. orcid.org/0000-0002-1220-6896 et al. (2 more authors) (2024) Unmanned Aerial Vehicle (UAV)-Based Pavement Image Stitching Without Occlusion, Crack Semantic Segmentation, and Quantification. IEEE Transactions on Intelligent Transportation Systems, 25 (11). pp. 17038-17053. ISSN 1524-9050

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Item Type: Article
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Keywords: Pavement distress, semantic segmentation, crack quantification, image stitching, unmanned aerial vehicle (UAV)
Dates:
  • Published: November 2024
  • Published (online): 15 July 2024
  • Accepted: 4 July 2024
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) > ITS: Spatial Modelling and Dynamics (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 29 Nov 2024 12:36
Last Modified: 29 Nov 2024 14:29
Status: Published
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Identification Number: 10.1109/tits.2024.3424525
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