论文标题
发展中国家的众筹道路质量映射
Crowd-Sourced Road Quality Mapping in the Developing World
论文作者
论文摘要
道路网络是一个国家基础设施中最重要的组成部分之一。通过促进商品，人和思想的流动和交流，它们支持边界内外的经济和文化活动。道路地理分布及其质量的最新映射对于从土地利用规划到荒野保护等的高影响力应用至关重要。地图在发展中国家提出了一个特别紧迫的挑战，在发展中国家，预计文件较差，道路建设不成比例。我们提出了一种新的众包方法，能够评估道路质量，并确定跨域中深度学习方法的可转移性的关键挑战和机遇。
Road networks are among the most essential components of a country's infrastructure. By facilitating the movement and exchange of goods, people, and ideas, they support economic and cultural activity both within and across borders. Up-to-date mapping of the the geographical distribution of roads and their quality is essential in high-impact applications ranging from land use planning to wilderness conservation. Mapping presents a particularly pressing challenge in developing countries, where documentation is poor and disproportionate amounts of road construction are expected to occur in the coming decades. We present a new crowd-sourced approach capable of assessing road quality and identify key challenges and opportunities in the transferability of deep learning based methods across domains.
