This paper proposes a new model-free UAV flight trajectory prediction method based on maneuver recognition, which avoids the complex modeling and computational problems of model prediction. Firstly, the recurrent neural network is trained to recognize maneuver with the mean square error as loss function. After obtaining a good maneuver recognition rate, the flight trajectory matching algorithm is used to match the historical flight trajectory with the template trajectory, through trajectory cutting and splicing to realize the prediction of the UAV flight trajectory. The effectiveness of the method proposed in this paper is verified by simulation experiments.


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    Titel :

    A Trajectory Prediction Method Based on Maneuver Recognition


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Fu, Wenxing (Herausgeber:in) / Gu, Mancang (Herausgeber:in) / Niu, Yifeng (Herausgeber:in) / Zhao, Wenjie (Autor:in) / Zhang, Pengcheng (Autor:in) / Shao, Xueming (Autor:in) / Dai, Yingpeng (Autor:in)

    Kongress:

    International Conference on Autonomous Unmanned Systems ; 2022 ; Xi'an, China September 23, 2022 - September 25, 2022



    Erscheinungsdatum :

    10.03.2023


    Format / Umfang :

    10 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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