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Real Time Counter-UAV System for Long Distance Small Drones using Double Pan-Tilt Scan Laser Radar

机译:双水平倾斜扫描激光雷达的远程小无人机实时反无人机系统

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The ground based electro-optical tracking system (EOTS) and electro-optics and infrared (EO/IR) are the mostpopular small UAV (C-sUAV) detection systems. The EO/IR systems are able to detect sUAVs at a longdistance about several kilometers under clean environment. However, its performance is degraded in variousnoises like fixed patterns, dead/bad pixels and complex background conditions such as saturated images or foggyenvironments. In this study, we propose an efficient methodology using high power laser radar for real time CsUAVsystems. The goal of our system is to find a 0.5 meter sUAV at 2 kilo meter distance in real time. For thatchallenging goal, we use a laser radar with dual pan-tilt scanning systems and also apply the variable-radiallybounded nearest neighbor (V-RBNN) methodology as a fast clustering method. The experimental results showthat the proposed method is able to detect 0.5 meter sUAV and its calculation time is under 20 millisecond perframes in complex background and long range conditions.
机译:基于地面的电光跟踪系统(EOTS)和电光和红外线(EO / IR)最多 流行的小无人机(C-SUAV)检测系统。 EO / IR系统能够长时间检测Suavs 在清洁环境下约几公里的距离。但是,它的性能在各种各样的情况下降 噪音,如固定模式,死/坏像素和复杂的背景条件,如饱和图像或雾 环境。在这项研究中,我们提出了一种使用高功率激光雷达的有效方法,实时CSUAV 系统。我们的系统的目标是实时地找到0.5米的苏千瓦距离。为了那个原因 具有挑战性的目标,我们使用具有双泛倾斜扫描系统的激光雷达,并应用可变径向 有界最近邻(V-RBNN)方法作为快速聚类方法。实验结果表明 所提出的方法能够检测0.5米SUAV,其计算时间仅为20毫秒 复杂背景和长距离条件中的框架。

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