Analysis of errors of the artificial horizon sensor based on vision system
https://doi.org/10.21122/2309-4923-2023-1-16-23
Abstract
The article discusses the features of the practical implementation of the artificial horizon sensor based on the onboard vision system. Proposed, developed on the basis of well-known applications, a variant of the algorithm for the operation of an unmanned aerial vehicle orientation video system. The problems of automatic detection and determination of the position of the horizon line on changing digital images that make up the video stream from the onboard digital camera are shown. The analysis of the factors influencing the accuracy of estimation of carrier orientation angles using the proposed system is carried out. The results of a practical study are presented, characterizing the degree of influence of the considered factors on the total error. A discrete stochastic mathematical model of an unmanned aerial vehicle orientation system based on an onboard vision system has been developed. The possibility of providing an acceptable level of accuracy of the orientation video system due to certain technical and algorithmic solutions is shown. The conclusion is made about the expediency of using this system in autonomous multisensor navigation systems for unmanned aerial vehicles.
About the Authors
A. A. Sheinikau
Military academy of the Republic of Belarus
Belarus
Belarus
Sheinikau Aliaksei - candidate of technical sciences, associate professor, doctoral student
Minsk
L. A. Ivanitski
Military academy of the Republic of Belarus
Belarus
Belarus
Ivanitski Leanid - graduate student
Minsk
V. A. Malkin
Military academy of the Republic of Belarus
Belarus
Belarus
Malkin Vitaliy - doctor of technical sciences, professor, professor of the department of aviation radio-electronic systems of the aviation faculty
Minsk
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Review
For citations:
Sheinikau A.A., Ivanitski L.A., Malkin V.A. Analysis of errors of the artificial horizon sensor based on vision system. «System analysis and applied information science». 2023;(1):16-23. (In Russ.) https://doi.org/10.21122/2309-4923-2023-1-16-23
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