Self-positioning of a team of flying smart cameras

  • Fabio Poiesi and Andrea Cavallaro. Self-positioning of a team of flying smart cameras. In IEEE Proceedings of Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP 2015), pages 1-6, Singapore, 2015. doi:10.1109/ISSNIP.2015.7106943
    [BibTeX] [Abstract]

    Quadcopters are highly maneuverable and can provide an effective means for an agile dynamic positioning of sensors such as cameras. In this paper we propose a method for the self-positioning of a team of camera-equipped quadcopters (flying cameras) around a moving target. The self-positioning task is driven by the maximization of the monitored surface of the moving target based on a dynamic flight model combined with a collision avoidance algorithm. Each flying camera only knows the relative distance of neighboring flying cameras and its desired position with respect to the target. Given a team of up to 12 flying cameras, we show they can achieve a stable time-varying formation around a moving target without collisions.

    @InProceedings{2015-04-POIESI,
    title = {{Self-positioning of a team of flying smart cameras}},
    author = {Fabio Poiesi and Andrea Cavallaro},
    booktitle = {{IEEE Proceedings of Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP 2015)}},
    address = {Singapore},
    date = {2015-04-07/2015-04-09},
    doi = {10.1109/ISSNIP.2015.7106943},
    year = {2015},
    pages = {1-6},
    abstract = {Quadcopters are highly maneuverable and can provide an effective means for an agile dynamic positioning of sensors such as cameras. In this paper we propose a method for the self-positioning of a team of camera-equipped quadcopters (flying cameras) around a moving target. The self-positioning task is driven by the maximization of the monitored surface of the moving target based on a dynamic flight model combined with a collision avoidance algorithm. Each flying camera only knows the relative distance of neighboring flying cameras and its desired position with respect to the target. Given a team of up to 12 flying cameras, we show they can achieve a stable time-varying formation around a moving target without collisions.}
    }

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