• DocumentCode
    712005
  • Title

    Framework for incremental development of complex unmanned aircraft systems

  • Author

    Selecky, Martin ; Rollo, Milan ; Losiewicz, Paul ; Reade, John ; Maida, Nicholas

  • Author_Institution
    Fac. of Electr. Eng., Czech Tech. Univ. in Prague, Prague, Czech Republic
  • fYear
    2015
  • fDate
    21-23 April 2015
  • Abstract
    In this paper we introduce a modular architecture for command & control (C2) of heterogeneous teams of autonomous Unmanned Aerial Vehicles (UAVs) that allows for incremental development and verification of complex systems using a mixed-reality concept. This can simplify and speed up the process of deployment on new payloads or control and reasoning algorithms on hardware assets, as well as the process of increasing the number of UAVs in teams. The reason for this is that the proposed architecture allows for verifying only a subset of the hardware assets or deployed hardware devices at a time while the rest of them remain virtualized. The proposed architecture was implemented as C2 framework and used in flight tests for verification of collision avoidance algorithms on two fixed wing UAVs in real world experiments.
  • Keywords
    aerospace testing; autonomous aerial vehicles; collision avoidance; command and control systems; inference mechanisms; multi-robot systems; C2; UAV; autonomous unmanned aerial vehicles; collision avoidance algorithms; command & control; complex unmanned aircraft systems; flight tests; hardware assets; heterogeneous teams; incremental development; mixed-reality concept; modular architecture; reasoning algorithms; Computer architecture; Data models; Hardware; Mathematical model; Unmanned aerial vehicles; Virtualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Integrated Communication, Navigation, and Surveillance Conference (ICNS), 2015
  • Conference_Location
    Herdon, VA
  • Print_ISBN
    978-1-4673-7549-8
  • Type

    conf

  • DOI
    10.1109/ICNSURV.2015.7121234
  • Filename
    7121234