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

Authors

Yuzhou Chen, 1. Beijing Institute of Technology, School of Automation, Beijing 100081, China; ;
Li Yuan, 1. Beijing Institute of Technology, School of Automation, Beijing 100081, China; ;
Qinglin Wang, 1. Beijing Institute of Technology, School of Automation, Beijing 100081, China; ;
Zhang Qing, 2. Beijing Electromechanical Engineering Institute, Beijing 100074, China;
Jinyuan Zhang, 2. Beijing Electromechanical Engineering Institute, Beijing 100074, China;

Abstract

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.

Recommended Citation

Chen, Yuzhou; Yuan, Li; Wang, Qinglin; Qing, Zhang; and Zhang, Jinyuan (2021) "Visual Simulation Platform for Visible Light Reconnaissance Load of Unmanned Aerial Vehicle," Journal of System Simulation: Vol. 33: Iss. 4, Article 18.
DOI: 10.16182/j.issn1004731x.joss.19-0630
Available at: https://dc-china-simulation.researchcommons.org/journal/vol33/iss4/18

First Page

910

Revised Date

2020-01-15

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.19-0630

Last Page

917

CLC

TP391.9

Recommended Citation

Chen Yuzhou, Li Yuan, Wang Qinglin, Zhang Qing, Zhang Jinyuan. Visual Simulation Platform for Visible Light Reconnaissance Load of Unmanned Aerial Vehicle[J]. Journal of System Simulation, 2021, 33(4): 910-917.

Corresponding Author

Li Yuan,

DOI

10.16182/j.issn1004731x.joss.19-0630