Abstract
This paper is an overview of the development and application of Computer Vision for the detection of pothole, pavement distress and road profile analysis and categorisation. A brief explanation of the traditional methods for determining these factors is given, followed by a chronological description of the evolution and the challenges of using Computer Vision (CV) approaches to determine these conditions. The paper is separated into sections aligned to image capture and analysis methodologies. Qualitative evaluations and comparison of these methods have been provided along with the proposal of guidelines for new computer vision-based road analysis systems.
| Original language | English |
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| Title of host publication | CERI 2020 |
| Publication status | Accepted - 21 Jul 2020 |
| Event | CERI 2020 : Civil Engineering Research Ireland - Cork Institute of Technology , Cork, Ireland Duration: 27 Aug 2020 → 28 Aug 2020 |
Publication series
| Name | |
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| ISSN (Print) | 1111-1111 |
Conference
| Conference | CERI 2020 : Civil Engineering Research Ireland |
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| Country | Ireland |
| City | Cork |
| Period | 27/08/2020 → 28/08/2020 |
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Cite this
Lydon, D., Taylor, S., Lydon, M., & Early, J. (Accepted/In press). A review of Vision based Methods for Pothole Detection and Road Profile Analysis. In CERI 2020