• DocumentCode
    165258
  • Title

    A low-power architecture for high frequency sensor acquisition in many-DOF UAVs

  • Author

    Mancuso, Renato ; Dantsker, Or D. ; Caccamo, Marco ; Selig, Michael S.

  • Author_Institution
    Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA
  • fYear
    2014
  • fDate
    14-17 April 2014
  • Firstpage
    103
  • Lastpage
    114
  • Abstract
    Unmanned Aerial Vehicles (UAVs) are becoming increasingly popular thanks to an increase in the accessibility of components with high reliability and reduced cost, making them suitable for civil, military and research purposes. Vehicles classified as UAVs can have largely different properties in terms of physical design, size, power, capabilities, as well as associated production and operational cost. In this work, we target UAVs that feature a high number of degrees of freedom (DOF) and that are instrumented with a large number of sensors. For such platforms, we propose an architecture to perform data acquisition from on-board instrumentation at a frequency (100 Hz) that is twice as fast as existing products. Our architecture is capable of performing acquisition with strict timing constraints, thus, the produced data stream is suitable for performing real-time sensor fusion. Furthermore, our architecture can be implemented using embedded, commercial hardware, resulting in a low-cost solution. Finally, the resulting data acquisition unit features a low-power consumption, allowing it to operate for two to three hours with a miniature battery.
  • Keywords
    autonomous aerial vehicles; data acquisition; mobile robots; sensor fusion; data stream; degrees-of-freedom; frequency 100 Hz; high frequency sensor acquisition; low-power architecture; manyDOF UAV; miniature battery; sensor fusion; timing constraints; unmanned aerial vehicles; Data acquisition; Hardware; Magnetic separation; Magnetometers; Magnetosphere; Monitoring; Pulse width modulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cyber-Physical Systems (ICCPS), 2014 ACM/IEEE International Conference on
  • Conference_Location
    Berlin
  • Print_ISBN
    978-1-4799-4931-1
  • Type

    conf

  • DOI
    10.1109/ICCPS.2014.6843715
  • Filename
    6843715