The purpose of this project is to develop and integrate a prototype multicopter Unmanned Aerial Vehicle (UAV) with a vision-based algorithm to enable a relative position hold capability. The resulting solution will enable automatic operation of a UAV with respect to another visually detectable object without use of GPS receiver or when GPS signal is not available. Navigating a robot in a GPS-denied environment is a desired feature in many applications, including Maritime Interdiction Operations. While automatically maintaining its relative position with respect to a given target, the onboard system will also provide video coverage of “blind spots” and network relay between the boarding team and ship.


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    Titel :

    Vision-Based Position Estimation Utilizing an Extended Kalman Filter


    Beteiligte:
    J. I. B. Testa (Autor:in)

    Erscheinungsdatum :

    2016


    Format / Umfang :

    69 pages


    Medientyp :

    Report


    Format :

    Keine Angabe


    Sprache :

    Englisch