In this paper, a multilevel architecture able to interface an on-board computer with a generic UAV flight controller and its radio receiver is proposed. The computer board exploits the same standard communication protocol of UAV flight controllers and can easily access additional data, such as: (i) inertial sensor measurements coming from a multi-sensor board; (ii) global navigation satellite system (GNSS) coordinates; (iii) streaming video from one or more cameras; and (iv) operator commands from the remote control. In specific operating scenarios, the proposed platform is able to act as a “cyber pilot” which replaces the role of a human UAV operator, thus simplifying the development of complex tasks such as those based on computer vision and artificial intelligence (AI) algorithms which are typically employed in autonomous flight operations.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    A Multilevel Architecture for Autonomous UAVs


    Beteiligte:
    Luca Bigazzi (Autor:in) / Michele Basso (Autor:in) / Enrico Boni (Autor:in) / Giacomo Innocenti (Autor:in) / Massimiliano Pieraccini (Autor:in)


    Erscheinungsdatum :

    2021




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt




    A new deep reinforcement learning architecture for autonomous UAVs

    Muñoz Ferran, Guillem | BASE | 2018

    Freier Zugriff

    Autonomous Systems Approach to UAVs

    Voos, H. | British Library Conference Proceedings | 2003


    Autonomous Gust Alleviation in UAVs

    Wang, Ya / Inman, Daniel J. | Wiley | 2017


    Swarm Architecture of UAVs

    Erkec, Tuncay Yunus / Hajiyev, Chingiz | Springer Verlag | 2022