• DocumentCode
    2951706
  • Title

    UAV fall detection from a dynamic perch using Instantaneous Centers of Rotation and inertial sensing

  • Author

    Crandall, Kyle L. ; Minor, Mark A.

  • Author_Institution
    Univ. of Utah, Salt Lake City, UT, USA
  • fYear
    2015
  • fDate
    26-30 May 2015
  • Firstpage
    4675
  • Lastpage
    4679
  • Abstract
    Much research has been done recently on getting various UAVs to perch on various surfaces, however very little research has looked at how to detect when this perch has failed, especially when the surface the UAV is perched on is moving. This paper proposes a method to detect these types of falls using the Instantaneous Center of Rotation (ICR) of the UAV. Two methods are proposed to calculate this ICR, one based on integrating accelerometers to get velocities at various points on the UAV, the other based on using the magnitude of the acceleration at these points to estimate the distance to the ICR from that point. These methods provide a way to detect a fall from a moving perch that should work with different types of perching mechanisms and perches, while requiring minimal additional hardware on the UAV.
  • Keywords
    accelerometers; autonomous aerial vehicles; distance measurement; inertial navigation; ICR; UAV fall detection; accelerometer integration; distance estimation; dynamic perching mechanism; inertial sensing; instantaneous centers of rotation; Acceleration; Accelerometers; Gyroscopes; Noise; Robot sensing systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation (ICRA), 2015 IEEE International Conference on
  • Conference_Location
    Seattle, WA
  • Type

    conf

  • DOI
    10.1109/ICRA.2015.7139847
  • Filename
    7139847