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Swarm intelligence based approach for real time UAV team coordination in search operations

机译:基于群智能的方法,用于在搜索操作中进行实时无人机团队协调

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This paper proposes swarm intelligence based approach for the real time coordination of groups of UAVs (Unmanned Aerial Vehicles) in tasks where values that are sensed from the aerial platform can be used to qualify the individuals. In particular, as an example application, here we consider environmental monitoring UAV teams. Their function is to monitor an area and when some undesired environmental condition arises, coordinate themselves to find the source as fast as possible. The swarm based algorithm has been extensively tested using a 3D simulation platform and validated with real UAVs flying over an industrial area.
机译:本文提出了一种基于群体智能的方法,用于在任务中实时协调无人机(无人飞行器)组,其中可以使用从空中平台感测到的值来对个人进行鉴定。特别是作为示例应用程序,我们在这里考虑环境监控无人机团队。它们的功能是监视区域,并在出现某些不良环境条件时,协调自身以尽快找到源头。基于群算法的算法已使用3D仿真平台进行了广泛测试,并已在飞过工业区的真实无人机进行了验证。

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