# Road Network Deterioration Monitoring Using Aerial Images and Computer Vision

arXiv: https://arxiv.org/abs/2209.15455 · HTML: https://mlsanity.com/paper/2209.15455/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 1 of its 30 references that are in the map.
- First posted on arXiv 30 Sep 2022.

## Builds on (most cited first, 1 of 1)

- [Real-Time Pothole Detection Using Deep Learning](https://mlsanity.com/paper/2107.06356/) (2021)

## Abstract (arXiv)

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.