Fast Drone Detection using SSD and YoloV3

Yew Ji Hao, Lee Koon Teck, Chua Ying Xiang, Enoch Jeevanraj, S. Srigrarom
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引用次数: 1

Abstract

This paper aims to introduce the method of detection of high-speed drones using both Single Shot Detector (SSD) and YOLOv3 (You Only Look Once)v3. After conducting experiments and obtaining footage of the fast-flying drones, the software and algorithms are being put to the test. In a motion detector, there are 3 main fundamentals - unmanned aerial vehicle (UAV) detection, UAV identification and tracking of the UAV, which will be introduced as a preliminary UAV detection system to spark of the use of other more advanced image recognition based detector. The alternative of using SSD and YOLOv3 will be the main discussion to target high-speed drones.
快速无人机检测使用SSD和YoloV3
本文旨在介绍使用Single Shot Detector (SSD)和YOLOv3 (You Only Look Once)v3对高速无人机进行检测的方法。在进行实验并获得快速飞行的无人机的镜头后,软件和算法正在进行测试。在一个运动探测器中,有3个主要的基础——无人机(UAV)探测、无人机识别和无人机跟踪,这将作为无人机探测系统的初步介绍,以激发其他更先进的基于图像识别的探测器的使用。针对高速无人机,将主要讨论使用SSD和YOLOv3的替代方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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