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