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.
翻译:道路维修是保证任何城市运输质量的必要进程,有效道路维修的一个关键步骤是能够更新道路网络的库存,我们证明关于维护上述库存的协议概念,该协议以使用无人驾驶飞行器为基础,快速收集图像,由计算机愿景程序处理,自动识别坑洞及其严重程度,我们的协议旨在向地方政府提供信息,优先考虑道路网络维护预算,并能够发现道路恶化的早期阶段,以尽量减少维修开支。