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Distributed automatic target recognition using multi-agent UAV swarms

机译:使用多主体无人机群进行分布式自动目标识别

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In modern day warfare, reconnaissance operations such as automatic target recognition(ATR) using unmanned aerial vehicles(UAVs) constitute a strategic war tactic. Traditionally, ATR is performed by UAVs that fly within the reconnaissance area to collect image data through sensors and upload the data to a central base station for analyzing and identifying potential targets. The centralized approach to ATR introduces several problems including scalability with the number of UAVs, network delays in communicating with the central location, and, susceptibility of the system to malicious attacks on the central location. These challenges can be addressed using a distributed system for performing ATR. In this paper, we describe a multi-agent system called COMSTAR-UAV (Cooperative Multi-agent System for automatic TArget Recognition using Unmanned Aerial Vehicles) that uses swarming techniques inspired from insect colonies to perform ATR in a distributed manner.
机译:在现代战争中,诸如使用无人机(UAV)的自动目标识别(ATR)之类的侦察行动构成了战略战争战术。传统上,ATR由在侦察区域内飞行的无人机执行,以通过传感器收集图像数据,并将数据上传到中央基站,以分析和识别潜在目标。 ATR的集中式方法引入了几个问题,包括无人飞行器数量的可扩展性,与中心位置通信时的网络延迟以及系统对中心位置进行恶意攻击的敏感性。这些挑战可以使用执行ATR的分布式系统来解决。在本文中,我们描述了一种称为COMSTAR-UAV(使用无人飞行器自动识别目标的协作多代理系统)的多代理系统,该系统使用了受昆虫殖民地启发的蜂群技术以分布式方式执行ATR。

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