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Multisensor 3D tracking for counter small unmanned air vehicles(CSUAV)

机译:计数器小型无人飞行器(CSUAV)的多传感器3D跟踪

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A variety of unmanned air vehicles (UAVs) have been developed for both military and civilian use. The typical large UAV is typically state owned, whereas small UAVs (SUAVs) may be in the form of remote controlled aircraft that are widely available. The potential threat of these SUAVs to both the military and civilian populace has led to research efforts to counter these assets via track, ID, and attack. Difficulties arise from the small size and low radar cross section when attempting to detect and track these targets with a single sensor such as radar or video cameras. In addition, clutter objects make accurate ID difficult without very high resolution data, leading to the use of an acoustic array to support this function. This paper presents a multi-sensor architecture that exploits sensor modes including EO/IR cameras, an acoustic array, and future inclusion of a radar. A sensor resource management concept is presented along with preliminary results from three of the sensors.
机译:已经开发了多种用于军事和民用的无人飞行器(UAV)。典型的大型UAV通常是国有的,而小型UAV(SUAV)可能采用广泛使用的遥控飞机的形式。这些SUAV对军事和平民百姓的潜在威胁已导致研究工作通过跟踪,ID和攻击来对付这些资产。试图通过单个传感器(例如雷达或摄像机)检测和跟踪这些目标时,会遇到困难,这是因为其体积小且雷达截面小。另外,如果没有非常高分辨率的数据,杂乱的对象将使准确的ID变得困难,从而导致使用声学阵列来支持此功能。本文提出了一种多传感器体系结构,该体系结构利用了包括EO / IR摄像机,声学阵列以及将来包括雷达在内的传感器模式。提出了传感器资源管理概念以及三个传感器的初步结果。

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