A decentralized algorithm for flocking of Unmanned Aerial Vehicles (UAV) in environments with high obstacle density is proposed in this work. The method combines a local planning loop with bio-inspired swarming rules for navigating a compact UAV flock in a real workspace without relying on external infrastructures, such as motion capture system and GNSS. The group stability and coherence are achieved by employing a purposely designed onboard UVDAR system for mutual localization of teammates in local proximity of each UAV. The required robustness and scalability of the multi-UAV system are therefore achieved without any need for communication among the swarm particle. Such minimal sensory and communication requirements have allowed the system to become a backup technique for centralized multi-robot systems in case of communication and GNSS dropout. The proposed approach has been verified in numerous simulations and real experiments inside a forest that represents one of the most challenging environments for deployment of compact groups of aerial vehicles.


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    Titel :

    Safe Tightly-Constrained UAV Swarming in GNSS-denied Environments


    Beteiligte:
    Dmytruk, Andriy (Autor:in) / Nascimento, Tiago (Autor:in) / Ahmad, Afzal (Autor:in) / Baca, Tomas (Autor:in) / Saska, Martin (Autor:in)


    Erscheinungsdatum :

    15.06.2021


    Format / Umfang :

    2663438 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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