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Computer Science > Computer Vision and Pattern Recognition

arXiv:2209.15455 (cs)
[Submitted on 30 Sep 2022]

Title:Road Network Deterioration Monitoring Using Aerial Images and Computer Vision

Authors:Nicolas Parra-A, Vladimir Vargas-Calderón, Herbert Vinck-Posada, Nicanor Vinck
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Abstract:Road maintenance is an essential process for guaranteeing the quality of transportation in any city. A crucial step towards effective road maintenance is the ability to update the inventory of the road network. We present a proof of concept of a protocol for maintaining said inventory based on the use of unmanned aerial vehicles to quickly collect images which are processed by a computer vision program that automatically identifies potholes and their severity. Our protocol aims to provide information to local governments to prioritise the road network maintenance budget, and to be able to detect early stages of road deterioration so as to minimise maintenance expenditure.
Comments: 5 pages, 4 figures
Subjects: Computer Vision and Pattern Recognition (cs.CV); Computers and Society (cs.CY)
Cite as: arXiv:2209.15455 [cs.CV]
  (or arXiv:2209.15455v1 [cs.CV] for this version)
  https://doi.org/10.48550/arXiv.2209.15455

Submission history

From: Vladimir Vargas-Calderón [view email]
[v1] Fri, 30 Sep 2022 13:05:03 UTC (5,099 KB)
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