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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    Title :

    Monocular Visual Tracking of Tactical UAV for Moving Target


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Jia, Yingmin (editor) / Zhang, Weicun (editor) / Fu, Yongling (editor) / Yu, Zhiyuan (editor) / Zheng, Song (editor) / Li, Hao (author) / Lei, Zhirong (author) / Tang, Qiang (author) / Zhang, Ning (author)


    Publication date :

    2021-10-07


    Size :

    7 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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