ASTRO: Autonomous, Sensing, and Tetherless netwoRked drOnes

ASTRO: Autonomous, Sensing, and Tetherless netwoRked drOnes
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DOI:
10.1145/3213526.3213527
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发表时间:
2018-06
期刊:
Proceedings of the 4th ACM Workshop on Micro Aerial Vehicle Networks, Systems, and Applications
影响因子:
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通讯作者:
Riccardo Petrolo;Yingyan Lin;E. Knightly
Riccardo Petrolo;Yingyan Lin;E. Knightly
中科院分区:
其他
文献类型:
--
作者:
Riccardo Petrolo;Yingyan Lin;E. Knightly

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我们提出了ASTRO,一个实现三个关键特性的无人机网络:(i)通过软件定义无线电在自主飞行中进行协作的联网无人机;(ii)无需地面控制站或空对地网络的离网无系绳飞行;(iii)基于无人机之间共享的机载传感器数据的机载机器学习任务。我们实现了ASTRO,并基于一项任务展示了一套概念验证实验,在该任务中,一个ASTRO无人机网络必须找到并追踪一个移动频谱作弊者。
We propose ASTRO, a drone network that realizes three key features: (i) networked drones that coordinate in autonomous flight via software defined radios, (ii) off-grid tetherless flight without requiring a ground control station or air-to-ground network, and (iii) on-board machine learning missions based on on-drone sensor data shared among drones. We implement ASTRO and present a suite of proof-of-concept experiments based on a mission in which a network of ASTRO drones must find and track a mobile spectrum cheater.