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微小型无人机载光电吊舱显控软件的设计与实现 被引量:1

Design and Implementation of Display-console Software for Micro Unmanned Electro-optical Pod
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摘要 针对微小型光电吊舱的特点,使用Qt框架和C/C++语言设计并实现了某型机载微小型光电吊舱的显示与控制软件;该软件在设计上采用了多线程的方式,分别实现了基于QtSerialPort模块的串口数据收发;基于开源编解码库FFmpeg的视频流接收和解码;基于YOLOv3模型检测算法的目标检测和识别等多项任务;各模块内部独立使用线程,并利用Qt的信号槽机制传递消息,使软件程序层次清晰,可读性强,并有利于后续功能的修改和添加;在地面高性能设备中使用YOLOv3算法做目标识别,在视频延时符合要求时,明显提升了检测速度和识别精度;最后,通过多次实验,验证了该显控软件的可靠性和有效性。 According to the characteristics of micro electro-optical pod,the Qt framework and C/C++ language are used to design and implement the display and control software of a certain type of airborne micro-photoelectric pod;the software is designed in a multi-threaded way to realize the serial ports based on the data transmission and reception of the QtSerialPort module,and the video stream reception and decoding based on the open source decodeing library FFmpeg;the multiple tasks of the target detection and recognition based on the YOLOv3 model detection algorithm;each module uses threads independently,and the Qt’s signal slot mechanism is used to transmit messages and make the levels of the software clear and the readability strong,and it is conducive to the modification and addition of the subsequent functions;the YOLOv3 algorithm is used for the target recognition in the ground high-performance equipment,and the detection speed and recognition accuracy are significantly improved when the video delay meets the requirements;finally,the reliability and effectiveness of the display and control software are verified after many experiments.
作者 王天澳 于洵 朱镭 王刚 张杨 黄书佳 WANG Tianao;YU Xun;ZHU Lei;WANG Gang;ZHANG Yang;HUANG Shujia(School of Optoelectronic Engineering,Xi'an Technological University,Xi'an 710021,China;School of Ordnance Science and Technology,Xi'an Technological University,Xi'an 710021,China;Xi'an Institute of Applied Optics,Xi'an 710021,China;China Academy of Aerospace Aerodynamics,Beijing 100074,China)
出处 《计算机测量与控制》 2022年第3期145-150,178,共7页 Computer Measurement &Control
关键词 光电吊舱 显控软件 QT 目标识别 多线程 C++ YOLOv3 electro-optical pod display console software Qt target recognition multi-threading C++ YOLOv3
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