论文信息 - IMPROVED VEHICLE PARAMETER ESTIMATION USING SENSOR FUSION BY KALMAN FILTERING

IMPROVED VEHICLE PARAMETER ESTIMATION USING SENSOR FUSION BY KALMAN FILTERING

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.

Erik Steinmetz | Per Jarlemark | Ragne Emardson

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