• DocumentCode
    3177146
  • Title

    Constrained 6DOF localisation for autonomous vehicles

  • Author

    Thompson, Simon ; Kagami, Satoshi ; Okajima, Masafumi

  • Author_Institution
    Digital Human Res. Center, Nat. Inst. of Adv. Ind. Sci. & Technol., Tokyo, Japan
  • fYear
    2010
  • fDate
    10-13 Oct. 2010
  • Firstpage
    330
  • Lastpage
    335
  • Abstract
    Autonomous navigation for vehicles in non-trivial environments requires fast and precise localisation. Vehicle control based on erroneous localisation can lead to motion from which it is costly to recover. Autonomous vehicles typically operate in 3D environments and require 6DOF localisation, which is computationally costly. This paper reports the development of an accurate 6DOF particle filter based localisation system which is suitable for localisation of autonomous vehicles operating in 3D environments. Fast, accurate localisation is achieved by constraining the 6DOF search space by physical vehicle limitations, and by the use of Graphics Processing Units (GPU´s) to enable the use of dense 3D internal representations of the environments in the localisation process. Experimental results of the localisation system controlling autonomous navigation are presented, with an average localisation error of approximately 10cm.
  • Keywords
    coprocessors; mobile robots; particle filtering (numerical methods); search problems; vehicles; 3D internal representation; 6DOF particle filter based localisation system; 6DOF search space; autonomous navigation; autonomous vehicles; graphics processing units; vehicle control; Robots; Soil; Variable speed drives; Vehicles; 6DOF Localisation; Autonomous Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems Man and Cybernetics (SMC), 2010 IEEE International Conference on
  • Conference_Location
    Istanbul
  • ISSN
    1062-922X
  • Print_ISBN
    978-1-4244-6586-6
  • Type

    conf

  • DOI
    10.1109/ICSMC.2010.5641688
  • Filename
    5641688