基于光通信的多无人机系统识别:理论与实践

IF 4.3 3区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Daniel Bonilla Licea, Viktor Walter, Mounir Ghogho, Martin Saska
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引用次数: 0

摘要

相互相对定位和识别是多无人机系统的重要特征。基于摄像机的通信技术,在文献中也称为光学摄像机通信,是一种为这一任务带来有价值解决方案的新技术。在这样一个系统中,无人机配备了led作为信标,并配备了摄像头来定位其他无人机的led。特定的闪烁序列被分配到每架无人机的led上,以唯一地识别它们。这种基于摄像头的系统不受射频电磁干扰,可以在全球导航卫星拒绝的环境中运行。此外,该系统的实现成本低廉。在本文中,我们详细研究了该系统的容量及其局限性。此外,我们还展示了如何构建无人机led的闪烁序列以提高系统性能。最后,用实验结果验证了解析推导的正确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Optical communication-based identification for multi-UAV systems: theory and practice

Optical communication-based identification for multi-UAV systems: theory and practice

Mutual relative localization and identification are important features for multi-unmanned aerial vehicle (UAV) systems. Camera-based communications technology, also known as optical camera communications in the literature, is a novel technology that brings a valuable solution to this task. In such a system, the UAVs are equipped with LEDs acting as beacons, and with cameras to locate the LEDs of the other UAVs. Specific blinking sequences are assigned to the LEDs of each of the UAVs to uniquely identify them. This camera-based system is immune to radio frequency electromagnetic interference and operates in global navigation satellite-denied environments. In addition, the implementation of this system is inexpensive. In this article, we study in detail the capacity of this system and its limitations. Furthermore, we show how to construct blinking sequences for UAV LEDs to improve system performance. Finally, experimental results are presented to corroborate the analytical derivations.

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来源期刊
Autonomous Robots
Autonomous Robots 工程技术-机器人学
CiteScore
7.90
自引率
5.70%
发文量
46
审稿时长
3 months
期刊介绍: Autonomous Robots reports on the theory and applications of robotic systems capable of some degree of self-sufficiency. It features papers that include performance data on actual robots in the real world. Coverage includes: control of autonomous robots · real-time vision · autonomous wheeled and tracked vehicles · legged vehicles · computational architectures for autonomous systems · distributed architectures for learning, control and adaptation · studies of autonomous robot systems · sensor fusion · theory of autonomous systems · terrain mapping and recognition · self-calibration and self-repair for robots · self-reproducing intelligent structures · genetic algorithms as models for robot development. The focus is on the ability to move and be self-sufficient, not on whether the system is an imitation of biology. Of course, biological models for robotic systems are of major interest to the journal since living systems are prototypes for autonomous behavior.
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