Browsing by Author "Prymak, Artem"

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    ALGORITHM OF FORMING AND SELECTING OF INFORMATIVE FEATURES IN CORRELATION EXTREME NAVIGATION SYSTEM DATABASE
    (Kyiv, “Osvita Ukrainy”, 2016-03) Mukhina, Maryna; Мухіна, Марина Петрівна; Prymak, Artem; Примак, Артем Петрович; Babeniuk, Anna; Бабенюк, Анна Миколаївна
    Hierarchical approach to data fusion in complex navigation system is proposed. Low level of data processing in correlation extreme navigation system includes forming and selecting the most infor- mative relevant features. Advanced algorithm is therefore developed based on weighting correlation sampling of template features. Practical efficiency of algorithm is researched based on Speed-Up Robust Feature method of feature points detection and description. Minimization of feature points number in template without decreasing the quality of matching is observed along with reduction of computational costs.
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    Automatic control contours of uav using only reliable information from sensors of direct measurement information
    (Osvita Ukrainy, 2015-09) Filyashkin, Мykola; Філяшкін, Микола Кирилович; Prymak, Artem; Примак, Артем Петрович; Babeniuk, Anna; Бабенюк, Анна Миколаївна
    This paper presents principles of the reconfiguration of automatic control loops of UAV in which at the stage of exit from zone of the active jamming uses only reliable information that's obtained only by autonomous measurement and can't cause the loss of the UAV. Designed control laws of the UAV’s autopilot and execute their comprehensive investigation.
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    Gaussian particle filtering block of navigation data
    (Osvita Ukrainy, 2016-12) Mukhina, Maryna; Мухіна, Марина Петрівна; Prymak, Artem; Примак, Артем Петрович
    A filtering block has been developed with the help of which navigation data, received from UAV is filtered. UAV motion over some territory with camera on board has been held and images are captured from it. Images were processed by blob method and we got some linear references, filtered it and compared with Google maps. As a result is received probabilities of state equation, in particular transient probabilities and its approximations according to the flight task, which allows to estimate UAV location, which showed that block is appropriate for use on UAV board and due to applying filtering, gives as correct results of location determining as possible.