The purpose of this paper is to discuss the optimization and Simulation of unmanned aerial vehicle (UAV) chasing non-intelligent agent. With the rapid development of UAV technology, UAV is more and more widely used in chasing non-intelligent agent. In order to make UAV more deeply used in the field of chasing non-intelligent agent, we propose a tracking method for UAV chasing non-intelligent agent, including non-intelligent agent trajectory prediction based on Kalman continuous filter and optimization scheme for UAV global waypoint nearest to non-intelligent agent, aiming to improve UAV tracking accuracy and maximize its tracking efficiency. In addition, we also establish a simulation platform for UAV chasing non-intelligent agent, and verifies the feasibility and effectiveness of the proposed method through simulation experiments.


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    Titel :

    Prediction-based Motion Planning for UAV Interception


    Beteiligte:
    An, Changying (Autor:in) / Ke, Jingyuan (Autor:in)


    Erscheinungsdatum :

    26.04.2024


    Format / Umfang :

    1334022 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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