论文标题
3、2、1，无人机走！测试床以拆除无人机群智能以进行分布式传感
3, 2, 1, Drones Go! A Testbed to Take off UAV Swarm Intelligence for Distributed Sensing
论文作者
论文摘要
本文介绍了一个测试台，以研究表现出群体智能的无人机（UAV）的分布式传感问题。几种智能城市应用程序，例如运输和灾难响应，都需要一群智能和合作的无人机收集传感器数据。事实证明，对于系统和严格研究而没有损害规模，现实主义和外部有效性，这通常被证明太复杂且昂贵。借助拟议的测试床，本文设置了一个垫脚石，以在小实验室空间内模仿，源自经验数据和仿真模型的大型感知区域。在此感应地图上，一群低成本的无人机可以飞行，从而可以研究各种问题，例如能源消耗，充电控制，导航和避免碰撞。分散的多代理集体学习算法（EPOS）适用于无人机群智能，以及对功耗测量的评估提供了概念验证，并验证了拟议的测试台的准确性。
This paper introduces a testbed to study distributed sensing problems of Unmanned Aerial Vehicles (UAVs) exhibiting swarm intelligence. Several Smart City applications, such as transport and disaster response, require efficient collection of sensor data by a swarm of intelligent and cooperative UAVs. This often proves to be too complex and costly to study systematically and rigorously without compromising scale, realism and external validity. With the proposed testbed, this paper sets a stepping stone to emulate, within small laboratory spaces, large sensing areas of interest originated from empirical data and simulation models. Over this sensing map, a swarm of low-cost drones can fly allowing the study of a large spectrum of problems such as energy consumption, charging control, navigation and collision avoidance. The applicability of a decentralized multi-agent collective learning algorithm (EPOS) for UAV swarm intelligence along with the assessment of power consumption measurements provide a proof-of-concept and validate the accuracy of the proposed testbed.
