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
Autonomous inspection of roads is gaining interest to improve the efficiency of road repair and maintenance. In this paper we will be showing the potential for using Hyper Spectral Cameras, HSC, to identify road defects. The key idea of this paper is that cracks in the road show the interior material of road pavement which have different chemical composition from the surface materials due to surface wear. Material changes of the road surface give rise to a spectral signature that can be easily detected in HSC images. This condition facilitates the detection of cracks and potholes, which can be difficult if working in the visible spectrum domain only. We report on experiments with a HSC to identify the road material changes and their association to cracks and potholes. A new metric is devised to measure the amount of metal oxides and associate its absence to the appearance of cracks. The metric is shown to be more discriminative than previous indicators in the literature.
Metadata
Item Type: | Proceedings Paper |
---|---|
Authors/Creators: |
|
Editors: |
|
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: |
|
Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Civil Engineering (Leeds) The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) |
Funding Information: | Funder Grant number EPSRC EP/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: | 10.22260/ISARC2019/0052 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:144502 |