Monocular Visual Tracking of Tactical UAV for Moving Target

Li, Hao; Lei, Zhirong; Tang, Qiang; Zhang, Ning

doi:10.1007/978-981-16-6328-4_12

Hao Li⁴¹,
Zhirong Lei⁴¹,
Qiang Tang⁴¹ &
…
Ning Zhang⁴¹

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 803))

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Abstract

In this paper, a method for UAV (Unmanned Aerial Vehicle) monocular vision tracking for moving targets is proposed. Firstly, a Z-shaped route generation algorithm that is adjusted according to the target velocity is proposed to ensure the velocity matching of the UAV in the target tracking process. In addition, a target state estimation method based on Kalman filter is designed to enable real-time lo-cation during target tracking. Finally, simulation results show the effectiveness of the method.

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References

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Acknowledgments

This work was supported by Chinese People’s Liberation Army Air Force Pre-research Special Technology Project (3030109).

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Authors and Affiliations

National Key Laboratory of Science and Technology on Aircraft Control, AVIC Xian Flight Automatic Control Research Institute (Facri), Xian, 710065, China
Hao Li, Zhirong Lei, Qiang Tang & Ning Zhang

Authors

Hao Li
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Zhirong Lei
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Qiang Tang
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Ning Zhang
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Editors and Affiliations

School of Automatic Science and Electrical Engineering, Beihang University, Beijing, China
Yingmin Jia
School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China
Weicun Zhang
School of Mechanical Engineering and Automation, Beihang University, Beijing, China
Yongling Fu
Beijing Institute of Precision Mechatronics and Controls, Beijing, China
Zhiyuan Yu
College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, Fujian, China
Song Zheng

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Li, H., Lei, Z., Tang, Q., Zhang, N. (2022). Monocular Visual Tracking of Tactical UAV for Moving Target. In: Jia, Y., Zhang, W., Fu, Y., Yu, Z., Zheng, S. (eds) Proceedings of 2021 Chinese Intelligent Systems Conference. Lecture Notes in Electrical Engineering, vol 803. Springer, Singapore. https://doi.org/10.1007/978-981-16-6328-4_12

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DOI: https://doi.org/10.1007/978-981-16-6328-4_12
Published: 07 October 2021
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-6327-7
Online ISBN: 978-981-16-6328-4
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)

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