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Coordinated Search with a Swarm of UAVs

机译:大量的无人机协同搜索

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摘要

Search is a fundamental task for wilderness search and rescue that can greatly benefit from the use of a swarm of autonomous UAVs to survey the environment. The benefits are maximised if the UAVs coordinate their search activities with one another. In this poster, we present our preliminary work on developing coordination strategies for multiple UAVs. It is based on a distributed, grid-based probabilistic environmental model. We discuss the practicalities of the search task, present a simplified mathematical model of the environment and sensors, and present some preliminary simulation-based results. These clearly illustrate, even in a highly simplified case, the great benefits of coordinated search.
机译:搜索是野外搜索和救援的一项基本任务,可以从大量自动无人驾驶无人机的使用中受益匪浅,以进行环境调查。如果无人机相互协调搜索活动,则收益将最大化。在此海报中,我们介绍了为多种无人机开发协调策略的初步工作。它基于分布式,基于网格的概率环境模型。我们讨论了搜索任务的实用性,提出了环境和传感器的简化数学模型,并提出了一些基于模拟的初步结果。这些即使在高度简化的情况下也清楚地说明了协同搜索的巨大好处。

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