Experimental flights of adaptive patterns for cloud exploration with UAVs
Experimental flights of adaptive patterns for cloud exploration with UAVs
复制标题
无人机云探索自适应模式的实验飞行
DOI：
10.1109/iros45743.2020.9341408
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发表时间：
2020
期刊：
影响因子：
--
通讯作者：
S. Lacroix
中科院分区：
文献类型：
--
作者：
Titouan Verdu;N. Maury;P. Narvor;Florian Seguin;G. Roberts;F. Couvreux;G. Cayez;M. Bronz;G. Hattenberger;S. Lacroix
这项工作介绍了用于探索云的无人机的部署，从系统架构和模拟测试到真实飞行活动和轨迹分析。由于其体积小、高度低，轻型无人机已被证明适合进行现场云数据收集。云层的寿命较短，飞机的续航能力有限，因此需要关注最感兴趣的区域来收集相关数据。本文在之前云自适应采样工作的基础上，重点介绍了系统的整体架构、基于初步测试和模拟对系统进行的改进，最后是现场测试的结果。巴巴多斯的实验飞行活动证实了该系统在动态环境中绘制云图和收集相关数据的能力，并强调了需要改进的领域。
This work presents the deployment of UAVs for the exploration of clouds, from the system architecture and simulation tests to a real-flight campaign and trajectory analyzes. Thanks to their small size and low altitude, light UAVs have proven to be adapted for in-situ cloud data collection. The short life time of the clouds and limited endurance of the planes require to focus on the area of maximum interest to gather relevant data. Based on previous work on cloud adaptive sampling, the article focuses on the overall system architecture, the improvements made to the system based on preliminary tests and simulations, and finally the results of a field campaign. The Barbados experimental flight campaign confirmed the capacity of the system to map clouds and to collect relevant data in dynamic environment, and highlighted areas for improvement.
影响因子：
4.6
作者：
Bony, Sandrine;Stevens, Bjorn;Wirth, Martin
通讯作者：
Wirth, Martin