Location
Cork Institute of Technology, Cork, Ireland
Event Website
https://event.ceri2020.exordo.com/
Start Date
27-8-2020 10:30 AM
End Date
27-8-2020 11:45 AM
Description
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.
Recommended Citation
Lydon, Darragh; Taylor, Su; Lydon, Myra; and Early, Julia, "A review of Vision based Methods for Pothole Detection and Road Profile Analysis" (2020). Civil Engineering Research in Ireland 2020. 2.
https://sword.cit.ie/ceri/2020/16/2
Included in
Civil Engineering Commons, Construction Engineering and Management Commons, Environmental Engineering Commons, Geotechnical Engineering Commons, Hydraulic Engineering Commons, Structural Engineering Commons, Transportation Engineering Commons
A review of Vision based Methods for Pothole Detection and Road Profile Analysis
Cork Institute of Technology, Cork, Ireland
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.
https://sword.cit.ie/ceri/2020/16/2
