Surveillance missions in vast, difficult access environments are responsible for logistic difficulties in comparison to using an in loco monitoring team. For this and many other reasons, solutions with robotic platforms such as unmanned aerial vehicles (UAVs), present economic advantages. Due to the cited potentialities, the focus of this work was the development of an AUAV with sufficient load capacity to embed solutions for monitoring environmental areas, carrying out its missions with high precision in positioning based on the data processing from different sensors like optical flow (OF), camera, inertial measurement unit (IMU) and GPS units, mostly in procedures of loitering and landing.A high processing unit was embedded into the UAV architecture to perform autonomous tracking for a landing mark pattern, based on computer vision algorithms and fuzzy logic rules developed in our laboratory, for precision landing procedures.


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    Titel :

    Autonomous Quadrotor for accurate positioning


    Beteiligte:

    Erschienen in:

    Erscheinungsdatum :

    2017-03-01


    Format / Umfang :

    1101814 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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