摘要
无人机的高速发展不仅为人类的生活带来了便利,同样也引发了各类安全问题。为此,近年来,我国重大涉密工业场所和交通枢纽为保障运行安全,积极建设了针对无人机的安防系统。光电告警系统是最重要的安防系统组件之一,其目的是识别目标和取得法律证据。介绍了一种针对无人机的无人值守光电告警系统,能够同时输出可见光和红外图像信息,并且能够自动识别目标类型。这套系统已经在我国重要的工业场所中成功应用,并取得了阶段性的成果,其成功的运行为后续智能化光电告警平台的发展奠定了基础。
The rapid development of drones not only brings convenience to the human's life,but also triggers various types of security issues.For this reason,in recent years,China's major industrial sites and transportation hubs have been actively involved in the construction of security systems for drones to ensure safe operation.Photoelectric alarm system is one of the most important components of the security system,which is purposed to identify the target and obtain legal evidence.This article describes an unmanned optoelectronic alert system for drones that can simultaneously output visible and infrared image information and automatically identify the target type.This system has been applied in important industrial sites in China and has achieved phased results.Its successful operation lays the foundation for the development of the subsequent intelligent photoelectric warning platform.
作者
殷宗迪
何平
宋秋冬
朱猛
YIN Zongdi;HE Ping;SONG Qiudong;ZHU Meng(Tianjin Jinhang Institute of Technical Physics,Tianjin 300308;School of Astronautics,Harbin Institute of Technology,Harbin 150001)
出处
《飞控与探测》
2018年第3期28-33,共6页
Flight Control & Detection
关键词
深度学习
无人值守
无人机
识别
光电告警
deep learning
unmanned
UAV
distinction
photoelectric warning