• DocumentCode
    1891800
  • Title

    Advanced 3-D trailer pose estimation for articulated vehicles

  • Author

    Fuchs, Christian ; Neuhaus, Frank ; Paulus, Dietrich

  • Author_Institution
    Active Vision Group, Univ. of Koblenz-Landau, Koblenz, Germany
  • fYear
    2015
  • fDate
    June 28 2015-July 1 2015
  • Firstpage
    211
  • Lastpage
    216
  • Abstract
    When crafting driver assistance systems designed for truck/trailer combinations, knowledge about the position and orientation of a truck relative to the attached trailer is a vital prerequisite for any kinematic calculation and trajectory estimation. An advanced optical sensor system measuring the 3-D state of an attached two-axle trailer is proposed in this publication. It uses a Kalman filter for enhanced pose estimation and is evaluated against previous versions of the sensor system for the same purpose.
  • Keywords
    Kalman filters; driver information systems; optical sensors; pose estimation; road vehicles; 3D state measurement; Kalman filter; advanced 3D trailer pose estimation; advanced optical sensor system; articulated vehicles; attached two-axle trailer; driver assistance systems; kinematic calculation; trajectory estimation; truck orientation; truck position; truck/trailer combinations; Accuracy; Cameras; Estimation; Kalman filters; Noise; Sensor systems; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Vehicles Symposium (IV), 2015 IEEE
  • Conference_Location
    Seoul
  • Type

    conf

  • DOI
    10.1109/IVS.2015.7225688
  • Filename
    7225688