One of the newest stages in the improvement of unmanned aerial vehicles (UAVs) is the integration of such systems with artificial intelligence (AI), which, in turn, is not a novelty, but provides such systems with a further level of practical application. Having conducted a meta-analysis of the results of previous studies and available information on this topic, it was found that in the modern period, in addition to successful practical implementations of the integration of artificial intelligence with UAVs, there is already a certain classification of such processes according to the principles of optimal improvement of UAV capabilities and by areas of society. In addition to the publicly available and well-known information about the successful use of drones in the military and logistics sectors of human activity, UAVs successfully perform tasks in such sectors as agriculture, engineering, search, etc. The purpose of the article is to analyze, research, review and systematize existing information on the positive effectiveness and feasibility of using the principles, approaches and integration of unmanned aerial vehicles with AI technologies to improve the efficiency of solving the tasks of detecting landmines and minefields, which is a major humanitarian problem for civil society located in the territory where military conflicts are currently taking place or in the territories where military clashes or conflicts have occurred in the past.


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    Titel :

    Promising areas of integration of artificial intelligence technologies in unmanned aerial vehicles


    Beteiligte:
    Angelsky, Oleg V. (Herausgeber:in) / Zenkova, Claudia Yu. (Herausgeber:in) / Kasianchuk, Artem (Autor:in) / Lastivka, Halyna (Autor:in)

    Kongress:

    Sixteenth International Conference on Correlation Optics ; 2023 ; Chernivtsi, Ukraine


    Erschienen in:

    Proc. SPIE ; 12938 ; 1293807


    Erscheinungsdatum :

    05.01.2023





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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