Drones in smart cities: Overcoming barriers through air traffic control research

A. Foina, R. Sengupta, Patrick Lerchi, Zhilong Liu, Clemens Krainer
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引用次数: 27

Abstract

Within the last decade, the recent automation of vehicles such as cars and planes promise to fundamentally alter the microeconomics of transporting people and goods. In this paper, we focus on the self-flying planes (drones), which have been renamed Unmanned Aerial System (UAS) by the US Federal Aviation Agency (FAA). The most controversial operations envisaged by the UAS industry are small, low-altitude UAS flights in densely populated cities - robotic aircraft flying in the midst of public spaces to deliver goods and information. This subset of robotic flight would be the most valuable to the nation's economy, but we argue that it cannot happen without a new generation of air traffic control and management services. This paper presents a cloud based system for city-wide unmanned air traffic management, prototype sensor systems required by city police to keep the city safe, and an analysis of control systems for collision avoidance.
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智慧城市中的无人机:通过空中交通管制研究克服障碍
在过去的十年里,最近汽车和飞机等交通工具的自动化有望从根本上改变运输人员和货物的微观经济学。在本文中,我们关注的是自动飞行的飞机(无人机),它已被美国联邦航空局(FAA)重新命名为无人机系统(UAS)。无人机行业设想的最具争议的业务是在人口密集的城市进行小型低空无人机飞行——机器人飞机在公共空间中飞行,运送货物和信息。这个机器人飞行的子集将对国家经济最有价值,但我们认为,如果没有新一代的空中交通管制和管理服务,它就不可能实现。本文介绍了一个基于云的城市无人空中交通管理系统,城市警察维护城市安全所需的原型传感器系统,以及对避免碰撞的控制系统的分析。
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