Hyperspectral Imaging for Autonomous Inspection of Road Pavement Defects

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

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: This is an author produced version of a paper published in the Proceedings of the 36th International Symposium on Automation and Robotics in Construction (ISARC)
Keywords: crack detection; Pavement defect inspection; Hyperspectral imaging; Autonomous road inspection
Dates:
  • Accepted: 7 March 2019
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering (Leeds) > School of Civil Engineering (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 04 Apr 2019 15:05
Last Modified: 04 Apr 2019 15:05
Published Version: https://www.iaarc.org/publications/search.php
Status: In Press
Publisher: International Association for Automation and Robotics in Construction

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Accepted Version


Embargoed until: 25 May 2019

Filename: ISARC19_p91.pdf

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