ASIMUT项目:基于多模态、多无人机、多级采集技术的态势管理辅助

Proceedings of the 3rd Workshop on Micro Aerial Vehicle Networks, Systems, and Applications Pub Date : 2017-06-23 DOI:10.1145/3086439.3086445

P. Bouvry, S. Chaumette, Grégoire Danoy, Gilles Guerrini, G. Jurquet, A. Kuwertz, W. Müller, M. Rosalie, J. Sander, F. Segor

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引用次数: 7

摘要

本文总结了ASIMUT项目(基于多模式、多无人机、多层次采集技术的态势管理辅助)的活动和成果，该项目由泰雷兹公司、弗劳恩霍夫IOSB公司、Fly-n-Sense公司、波尔多大学和卢森堡大学组成。ASIMUT项目由欧洲防务局(EDA)资助，目标是设计、实施和验证算法，从而有效地使用自主无人机群(uav)执行监视任务。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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ASIMUT project: Aid to SItuation Management based on MUltimodal, MUltiUAVs, MUltilevel acquisition Techniques

This document summarizes the activities and results of the ASIMUT project (Aid to SItuation Management based on MUltimodal, MUltiUAVs, MUltilevel acquisition Techniques) carried out by the consortium composed of Thales, Fraunhofer IOSB, Fly-n-Sense, University of Bordeaux and University of Luxembourg. Funded by the European Defence Agency (EDA), the objectives of the ASIMUT project are to design, implement and validate algorithms that will allow the efficient usage of autonomous swarms of Unmanned Aerial Vehicles (UAVs) for surveillance missions.

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Proceedings of the 3rd Workshop on Micro Aerial Vehicle Networks, Systems, and Applications

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