Abstract
The ground based electro-optical tracking system (EOTS) and electro-optics and infrared (EO/IR) are the most popular small UAV (C-sUAV) detection systems. The EO/IR systems are able to detect sUAVs at a long distance about several kilometers under clean environment. However, its performance is degraded in various noises like fixed patterns, dead/bad pixels and complex background conditions such as saturated images or foggy environments. In this study, we propose an efficient methodology using high power laser radar for real time CsUAV systems. The goal of our system is to find a 0.5 meter sUAV at 2 kilo meter distance in real time. For that challenging goal, we use a laser radar with dual pan-tilt scanning systems and also apply the variable-radially bounded nearest neighbor (V-RBNN) methodology as a fast clustering method. The experimental results show that the proposed method is able to detect 0.5 meter sUAV and its calculation time is under 20 millisecond per frames in complex background and long range conditions.
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