• DocumentCode
    3011488
  • Title

    Unmanned Ground Vehicle State Estimation using an Unmanned Air Vehicle

  • Author

    MacArthur, Donald K. ; Crane, Carl D.

  • Author_Institution
    LLC, Gainesville
  • fYear
    2007
  • fDate
    20-23 June 2007
  • Firstpage
    473
  • Lastpage
    478
  • Abstract
    Unmanned Air Vehicles (UAVs) have several advantages and disadvantages compared with Unmanned Ground Vehicles (UGVs). Both systems have different mobility and perception abilities. UAV systems have extended perception, tracking, and mobility capabilities compared with UGVs. UGVs have more intimate mobility and manipulation capabilities. This paper presents the research that has been conducted in the collaboration of UAVs and UGVs. This research demonstrates the use of a passive UAV system for tracking and state estimation of a UGV. This paper presents the UAV sensors and avionics, the algorithms for combining the UGV kinematics equations, and the geo-positioning algorithms used on the UAV to form a robust UGV state estimation. Experimental results are presented.
  • Keywords
    aircraft control; mobile robots; position control; robot dynamics; state estimation; tracking; vehicle dynamics; UGV kinematics equations; geopositioning algorithm; mobility ability; passive UAV system; perception ability; tracking; unmanned air vehicle; unmanned ground vehicle state estimation; Aircraft; Cameras; Intelligent robots; Intelligent sensors; Land vehicles; Memory; Payloads; Robotics and automation; State estimation; Unmanned aerial vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence in Robotics and Automation, 2007. CIRA 2007. International Symposium on
  • Conference_Location
    Jacksonville, FI
  • Print_ISBN
    1-4244-0790-7
  • Electronic_ISBN
    1-4244-0790-7
  • Type

    conf

  • DOI
    10.1109/CIRA.2007.382909
  • Filename
    4269909