Hyperspectral Imaging for Autonomous Inspection of Road Pavement Defects

Abdellatif, M orcid.org/0000-0002-7641-4723, Peel, H, Cohn, AG orcid.org/0000-0002-7652-8907 et al. (1 more author) (2019) Hyperspectral Imaging for Autonomous Inspection of Road Pavement Defects. In: Al-Hussein, M, (ed.) Proceedings of the 36th International Symposium on Automation and Robotics in Construction (ISARC). ISARC 2019, 21-24 May 2019, Banff, AB, Canada. International Association for Automation and Robotics in Construction , pp. 384-392.

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: This is an author produced version of a conference paper published in 2019 Proceedings of the 36th ISARC.
Keywords: Road crack detection; Pavement defect inspection; Hyperspectral imaging; Autonomous road inspection
Dates:
  • Published: 24 May 2019
  • Accepted: 7 March 2019
  • Published (online): 24 May 2019
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering (Leeds) > School of Civil Engineering (Leeds)
The University of Leeds > Faculty of Engineering (Leeds) > School of Computing (Leeds)
Funding Information:
FunderGrant number
EPSRCEP/N010523/1
Depositing User: Symplectic Publications
Date Deposited: 04 Apr 2019 15:05
Last Modified: 08 Aug 2019 07:02
Published Version: https://www.iaarc.org/publications/search.php
Status: Published
Publisher: International Association for Automation and Robotics in Construction
Identification Number: https://doi.org/10.22260/ISARC2019/0052

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