系统仿真学报 ›› 2021, Vol. 33 ›› Issue (4): 910-917.doi: 10.16182/j.issn1004731x.joss.19-0630

• 物理效应/模拟器仿真技术 • 上一篇    下一篇

无人机可见光侦察载荷视景仿真平台

陈瑜洲1, 李原1,*, 王庆林1, 张卿2, 张津源2   

  1. 1.北京理工大学 自动化学院,北京 100081;
    2.北京机电工程研究所,北京 100074
  • 收稿日期:2019-12-03 修回日期:2020-01-15 出版日期:2021-04-18 发布日期:2021-04-14
  • 通讯作者: 李原(1977-),男,博士,副教授,研究方向为计算机视觉和智能机器人。E-mail:liyuan@bit.edu.cn
  • 作者简介:陈瑜洲(1996-),女,硕士,研究方向为计算机视觉、图像处理。E-mail:m18401685207@163.com
  • 基金资助:
    国家自然科学基金面上项目(61472037)

Visual Simulation Platform for Visible Light Reconnaissance Load of Unmanned Aerial Vehicle

Chen Yuzhou1, Li Yuan1,*, Wang Qinglin1, Zhang Qing2, Zhang Jinyuan2   

  1. 1. Beijing Institute of Technology, School of Automation, Beijing 100081, China;
    2. Beijing Electromechanical Engineering Institute, Beijing 100074, China
  • Received:2019-12-03 Revised:2020-01-15 Online:2021-04-18 Published:2021-04-14

摘要: 针对无人机作战侦察时视觉系统参数对视频成像性能影响的仿真评估需求,设计并构建了一个无人机侦察载荷视景仿真平台。平台融合了视觉系统参数和飞行参数对实景视频进行仿真处理,为无人机侦察载荷系统评估和指标设计提供支撑,并为无人机侦察作战获得最佳效能时的视觉系统参数、飞行参数、飞行航迹设置提供指导。实验验证了平台5种仿真功能,根据设定的系统参数对无人机侦察视频进行视频剪裁缩放、视频亮度增强、视频滤波等仿真处理,能有效地实现可见光侦察载荷视景仿真。

关键词: 无人机, 视频处理, 侦察载荷, 仿真平台

Abstract: In view of the simulation and evaluation requirement of the visual system parameters on the performance of video imaging during the operation and reconnaissance of unmanned aerial vehicle, a visual simulation platform for the reconnaissance load is designed and constructed. The collected video is processed according to the visual system parameters and the flight parameters, and the support for the evaluation and the index design of the unmanned aerial vehicle reconnaissance load system is provided, and the guidance is provided for the flight parameters and the flight track setting when the unmanned aerial vehicle reconnaissance and operation obtains the best performance. The experimental results verify 5 kinds of simulation functions of the simulation platform, which can carry out video clipping and scaling on the unmanned aerial vehicle reconnaissance video, and the video brightness enhancement and the video filtering process can effectively realize the visual simulation of the visible light reconnaissance load.

Key words: unmanned aerial vehicle, video processing, reconnaissance load, simulation platform

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