Modern UAVs are facing more and more complicated airspace environment and increasing collision risks. How to make the UAVs have certain autonomous anti-collision capabilities is an urgent problem to be solved. The threat pattern cognition is an important process for autonomous anti-collision which should be taken seriously. This paper draws on the ideas of human cognitive development and proposes a method suitable for autonomous cognitive for the threat pattern of UAVs in complex combat airspace based on the research of developmental networks, and the simulation result has shown that the threat pattern cognition issues of UAVs can be resolved with the method proposed.


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    Title :

    Cognitive Method for Anti-collision Pattern of UAV in Complex Combat Airspace


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Yan, Liang (editor) / Duan, Haibin (editor) / Yu, Xiang (editor) / Xu, Zhuofan (author) / Wei, Ruixuan (author) / Zheng, Zhi (author)


    Publication date :

    2021-10-30


    Size :

    11 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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