摘要
为了提升军用车辆驾驶员环境感知能力,特别是在夜晚或烟、雾、雨、雪等不同天候条件下提供更有效的观察手段,增加远距离目标识别能力,提高驾驶安全性,作战部队对军用车辆驾驶员视觉增强系统提出了高效、灵活、精确的新要求。基于非制冷红外探测技术的军用车辆驾驶员视觉增强系统作为一类能够有效支持部队全天时、全天候作战的装备,既增强了车辆夜间隐蔽通行能力,又有效保障了机械化部队的全天候机动能力。通过研究非制冷红外探测技术成像原理,设计出一款模块化、体积小、功耗低、可靠性高的军用车辆驾驶员视觉增强系统,有利于满足日益增长的陆军装备需求。其功能模块包括:红外探测器模块、信号处理模块、图像处理模块、电子稳像模块、行人识别模块、录像模块、控制模块、显示模块,各功能模块相对独立。
In order to improve the environmental awareness of military vehicle drivers, especially in the night or in different weather conditions such as smoke, fog, rain, snow, etc., as well as to provide more effective means of observation and increase long-distance target recognition ability and driving safety, new requirements of vision enhancement system for military vehicle drivers were proposed, which referred to efficient, flexible and precise. The vision enhancement system for military vehicle drivers based on uncooled infrared detection technology is a kind of equipment that can effectively support the whole-day and all-weather combat of the troops. It not only enhances the hidden traffic ability of the vehicle at night, but also effectively guarantees the all-weather maneuverability of the mechanized units. By studying the imaging principle of uncooled infrared detection technology, a modular, small-sized, low-power, high-reliability vision enhancement system for military vehicle drivers was designed, which was conducive to meeting the growing demand for army equipment. The functional modules include an infrared detector module, a signal processing module, an image processing module, an electronic image stabilization module, a pedestrian recognition module, a video recording module, a control module and a display module, in which they are relatively independent.
作者
卢伟
董金良
张平
沈昱
严伟
季中杰
孟祥健
林玲
徐爱东
周智慧
LU Wei;DONG Jinliang;ZHANG Ping;SHEN Yu;YAN Wei;JI Zhongjie;MENG Xiangjian;LIN Ling;XU Aidong;ZHOU Zhihui(Jiangsu North Huguang Opto-Electronics Co,Ltd,Wuxi 214028,China)
出处
《应用光学》
CAS
CSCD
北大核心
2019年第6期1033-1038,共6页
Journal of Applied Optics
关键词
非制冷红外
视觉增强系统
夜视技术
图像处理
数字视频
uncooled infrared
vision enhancement system
night vision technology
image processing
digital video