  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.
