• DocumentCode
    2610677
  • Title

    Heading prediction in unmanned ground vehicles by laser compass

  • Author

    Khalili, Mey ; Weatherly, Richard ; Bolling, Robert ; Jacyna, Garry ; Robbins, Scott ; Ring, Keven ; Grabowski, Bob ; Forbes, Kevin ; Cicalese, Cindy

  • Author_Institution
    MITRE Corp., McLean, VA, USA
  • fYear
    2010
  • fDate
    5-7 Sept. 2010
  • Firstpage
    255
  • Lastpage
    260
  • Abstract
    This paper presents an on-line algorithm that provides accurate heading predictions for Unmanned Ground Vehicles (UGVs). The algorithm uses cross-correlation of SICK laser scans to improve the heading predictions from GPS. It was tested on our Centaur vehicles in outdoor urban environments and verified to provide accurate smooth heading predictions.
  • Keywords
    Global Positioning System; compasses; laser beam applications; military vehicles; mobile robots; remotely operated vehicles; Centaur vehicles; GPS; SICK laser scans; cross-correlation algorithm; laser compass; on-line algorithm; outdoor urban environments; smooth heading predictions; unmanned ground vehicles; Compass; Global Positioning System; Heuristic algorithms; Interpolation; Lasers; Prediction algorithms; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multisensor Fusion and Integration for Intelligent Systems (MFI), 2010 IEEE Conference on
  • Conference_Location
    Salt Lake City, UT
  • Print_ISBN
    978-1-4244-5424-2
  • Type

    conf

  • DOI
    10.1109/MFI.2010.5604488
  • Filename
    5604488
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2610677