The purpose of this paper is to present a localisation system for an indoor rotary-wing micro aerial vehicle (MAV) that uses three onboard LEDs and base station mounted active vision unit. A pair of blade mounted cyan LEDs and a tail mounted red LED are used as on-board landmarks. A base station tracks the landmarks and estimates the pose of the MAV in real time by analysing images taken using an active vision unit. In each image, the ellipse formed by the cyan LEDs is used for 5 degree of freedom (DoF) pose estimation with yaw estimation from the red LED providing the 6th DoF. About 1 -3.5 % localisation error of the MAV at various ranges, rolls and angular speeds less than 45 deg of angle/s relative to the base station at known location indicates that the MAV can be accurately localised at 9-12 Hz in an indoor environment. Line-of-sight between the base station and MAV is necessary while limited accuracy is evident in yaw estimation at long distances. Additional yaw sensors and dynamic zoom are among future work. Provided an unmanned ground vehicle (UGV) as the base station equipped with its own localisation sensor, the developed system encourages the use of autonomous indoor rotary-wing MAVs in various robotics applications, such as urban search and rescue. The most significant contribution of this paper is the innovative LED configuration allowing full 6 DoF pose estimation using three LEDs, one camera and no fixed infrastructure. The active vision unit enables a wide range of observable flight as the ellipse generated by the cyan LEDs is recognisable from almost any direction.


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    Titel :

    A localisation system for an indoor rotary-wing MAV using blade mounted LEDs


    Weitere Titelangaben:

    Ein Lokalisierungssystem für ein Innenraum-Mikrodrehflügelflugzeug mit flügelblattmontierten Lumineszenzdioden


    Beteiligte:
    Lin Chi Mak (Autor:in) / Whitty, Mark (Autor:in) / Furukawa, Tomonari (Autor:in)

    Erschienen in:

    Sensor Review ; 28 , 2 ; 125-131


    Erscheinungsdatum :

    2008


    Format / Umfang :

    7 Seiten, 9 Bilder, 18 Quellen




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Print


    Sprache :

    Englisch




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