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:
IMEKO-WC-2009-TC21-641.pdf
DOI:
-
Event details
Event name:
XIX IMEKO World Congress
Title:

Fundamental and Applied Metrology

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