With the rapid development of artificial intelligence technology, air combat is now developing in the direction of fully autonomous and collaborative operation. In a collaborative mode, drones need to assess the current situation of the environment when operating, and every drone will interact with each other for better information gathering and situational awareness. To this end, this study develops a novel index system for threat assessment based on seven factors that have impacts on the threat level of radiation sources. A hierarchical analysis means is introduced to quantify the drone threat assessment results. The consistency of threat assessment results among different drones is compared by combining the Jaccard coefficients and the sequence similarity values. Finally, exemplary simulations are carried out, results from which demonstrates the effectiveness of the proposed method when implementing in a drone collaborative exploration mission.


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    Titel :

    Collaborative Multi-Drones Air Combat Threat Assessment and Credibility Study


    Weitere Titelangaben:

    Springer Aerospace Techn.


    Beteiligte:
    Liu, Zishun (Herausgeber:in) / Li, Renfu (Herausgeber:in) / He, Xiaodong (Herausgeber:in) / Zhu, Zhenghong (Herausgeber:in) / Pu, Ruimin (Autor:in) / Yu, Meng (Autor:in)

    Kongress:

    International Conference on Advanced Unmanned Aerial Systems ; 2023 ; Harbin, China July 14, 2023 - July 16, 2023



    Erscheinungsdatum :

    2024-02-01


    Format / Umfang :

    12 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch






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