无人机群协同导航与自主编队飞行

Boudjit Kamel, Ammi Oussama
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引用次数: 1

摘要

近年来,由于无人机系统的部署和维护成本低,并且可以在人类飞行员无法进入或危险的区域操作,无人机在军事和民用领域都受到了广泛的关注。为了处理更复杂的任务,如搜索生存点,多目标监视和跟踪,无人机群的应用是可见的。这需要更复杂的控制、沟通和协调机制。然而,这些机制很难在飞行动态条件下进行测试和分析。本文介绍了我们研究小组最近在采用视觉处理、射频数据传输的领导-跟随型无人机上的工作实例。该系统针对搜索和救援环境,采用控制、视觉处理和嵌入式系统,允许轻松部署多架四旋翼无人机,同时只需要控制一架。该系统演示了一种领先-跟随配置的无人机相对定位方案,允许包括路径跟踪在内的预测性机动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cooperative Navigation and Autonomous Formation Flight for a Swarm of Unmanned Aerial Vehicle
In recent years, thanks to the low cost of deploying, maintaining an Unmanned Aerial Vehicle (UAV) system and the possibility to operating them in areas inaccessible or dangerous for human pilots, UAVs have attracted much research attention in both the military field and civilian application. In order to deal with more sophisticated tasks, such as searching survival points, multiple target monitoring and tracking, the application of UAV swarms is for seen. This requires more complex control, communication and coordination mechanisms. However, these mechanisms are difficult to test and analyses under flight dynamic conditions. This paper presents recent examples from work in our research team on in incorporates leader-follower unmanned aerial vehicles using vision processing, radiofrequency data transmission. This system targets search and rescue environments, employing controls, vision processing, and embedded systems to allow for easy deployment of multiple quadrotor UAVs while requiring the control of only one. The system demonstrates a relative localization scheme for UAVs in a leader-follower configuration, allowing for predictive manoeuvres including path following.
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