In this study, we perform target detection and tracking with Unmanned Aerial Vehicle (UAV) as well as the visual command of UAV. Our goal is to develop an autopilot system to reduce the human factor in UAV's. We create a system that follows different objects, stays locked to a graphical object which is glyph that has an encryption that only we describe, and executes the mission encoded on glyph in both indoor and outdoor tests. We obtain the targeting by the angle and the dimensions of the glyph. We've obtained successful results in applied presentations.


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    Titel :

    Visual tracking and control of Unmanned Aerial Vehicle


    Beteiligte:
    Surucu, Dilek (Autor:in) / Surucu, Murat (Autor:in) / Koksal, Kerem (Autor:in) / Hacioglu, Rifat (Autor:in)


    Erscheinungsdatum :

    01.05.2015


    Format / Umfang :

    407090 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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