A Platform for Autonomous Swarms of UAVs

Margarida Silva, André Mourato, G. Marques, S. Sargento, A. Reis
{"title":"A Platform for Autonomous Swarms of UAVs","authors":"Margarida Silva, André Mourato, G. Marques, S. Sargento, A. Reis","doi":"10.1109/ISCC55528.2022.9912997","DOIUrl":null,"url":null,"abstract":"The usage of aerial drones has become more popular as they also become more accessible, both in economic and usability terms. Nowadays, these vehicles can present reduced dimensions and a good cost-benefit ratio, which makes it possible for several services and applications supported by aerial drone networks to emerge. Taking into account the enormous diversity of use cases, many of the existing solutions for autonomous control focus on specific scenarios. Generic mission planning platforms also exist, but most of them only allow missions consisting of linear waypoints to be traversed. These situations translate into a mission support that is not very flexible. This paper proposes a modular infrastructure that can be used in various scenarios, enabling the autonomous control and monitoring of a fleet of aerial drones in a mission context. The platform allows the communication with the flight controller so that it can collect telemetry data and send movement instructions to the drone, and to monitor this data and send the commands remotely, also enabling robust mission planning with multiple drones, and enabling the interaction with internal and external sensors. The real tests performed through the platform show that the planned missions are executed exactly as they are planned in the platform.","PeriodicalId":309606,"journal":{"name":"2022 IEEE Symposium on Computers and Communications (ISCC)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE Symposium on Computers and Communications (ISCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCC55528.2022.9912997","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

The usage of aerial drones has become more popular as they also become more accessible, both in economic and usability terms. Nowadays, these vehicles can present reduced dimensions and a good cost-benefit ratio, which makes it possible for several services and applications supported by aerial drone networks to emerge. Taking into account the enormous diversity of use cases, many of the existing solutions for autonomous control focus on specific scenarios. Generic mission planning platforms also exist, but most of them only allow missions consisting of linear waypoints to be traversed. These situations translate into a mission support that is not very flexible. This paper proposes a modular infrastructure that can be used in various scenarios, enabling the autonomous control and monitoring of a fleet of aerial drones in a mission context. The platform allows the communication with the flight controller so that it can collect telemetry data and send movement instructions to the drone, and to monitor this data and send the commands remotely, also enabling robust mission planning with multiple drones, and enabling the interaction with internal and external sensors. The real tests performed through the platform show that the planned missions are executed exactly as they are planned in the platform.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
无人机自主群平台
空中无人机的使用变得越来越流行,因为它们在经济和可用性方面也变得更容易获得。如今,这些飞行器可以呈现出较小的尺寸和良好的成本效益比,这使得由空中无人机网络支持的几种服务和应用成为可能。考虑到用例的巨大多样性,许多现有的自主控制解决方案都侧重于特定的场景。一般的任务规划平台也存在,但大多数只允许由线性路径点组成的任务被遍历。这些情况导致特派团支助不是很灵活。本文提出了一种可用于各种场景的模块化基础设施,能够在任务环境中自主控制和监视一组空中无人机。该平台允许与飞行控制器通信,以便它可以收集遥测数据并向无人机发送运动指令,并监控这些数据并远程发送命令,还可以实现多架无人机的强大任务规划,并实现与内部和外部传感器的交互。通过该平台进行的实际测试表明,计划的任务完全按照计划在平台中执行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Convergence-Time Analysis for the HTE Link Quality Estimator OCVC: An Overlapping-Enabled Cooperative Computing Protocol in Vehicular Fog Computing Non-Contact Heart Rate Signal Extraction and Identification Based on Speckle Image Active Eavesdroppers Detection System in Multi-hop Wireless Sensor Networks A Comparison of Machine and Deep Learning Models for Detection and Classification of Android Malware Traffic
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1