• DocumentCode
    476927
  • Title

    Online-estimation of road map elements using spline curves

  • Author

    Hasberg, Carsten ; Hensel, Stefan

  • Author_Institution
    Inst. for Mess- und Regelungstech., Univ. Karlsruhe, Karlsruhe
  • fYear
    2008
  • fDate
    June 30 2008-July 3 2008
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    The basis for map assisted moving target tracking is a correct and up-to-date representation of the environment. In this contribution a method is proposed to model curved structures, e.g. roads or tracks, with cubic spline curves. The unknown model parameters are estimated based on corrupted measurements using a probabilistic approach. In particular, the method presented results in a linear formulation of the estimation problem, that offers itself to standard optimal estimation techniques. While the parameters are adapted to the measurements, the geometric progression of the curve is locally adjusted. The resulting representation provides information about the expected geometric run and the uncertainty of the estimated curve.
  • Keywords
    cartography; geometry; motion estimation; parameter estimation; probability; splines (mathematics); cubic spline curves; curve geometric progression; curved structures; environment representation; linear formulation; online-estimation; probabilistic approach; road map elements; standard optimal estimation techniques; unknown model parameters estimation; Cubic Spline Curve; Kalman Filter; Mapping; Parameter Estimation; Road Map;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Fusion, 2008 11th International Conference on
  • Conference_Location
    Cologne
  • Print_ISBN
    978-3-8007-3092-6
  • Electronic_ISBN
    978-3-00-024883-2
  • Type

    conf

  • Filename
    4632295