Skip to main content

Search Proceedings

IMPROVED VEHICLE PARAMETER ESTIMATION USING SENSOR FUSION BY KALMAN FILTERING

Erik Steinmetz, Ragne Emardson, Per Jarlemark
  • Abstract:
    Within several applications concerning the improvement of vehicle safety, accurate systems for determination of position, velocity and acceleration are useful. We present a system for accurate determination of these parameters using a sensor fusion technique. The main focus is on how GPS carrier phase data and accelerometer data are modeled and integrated in a Kalman filter that provides both estimates and accompanying uncertainties.
  • Keywords:
    sensor fusion, Kalman filter, Global positioning system (GPS)
  • Download:
  • DOI:
    _unreg_wc-2009.641

Event details:

  • IMEKO TC:
  • Event name:
    XIX IMEKO World Congress
  • Title:

    Fundamental and Applied Metrology

  • Place:
    Lisbon, PORTUGAL
  • Time:
    06 September 2009 - 11 September 2009