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- W2549605736 abstract "Kalman filtering is a well-established methodology used in various multi-sensor data fusion applications. In our experiment, we first obtain measurements from the accelerometer and gyroscope and fuse them using Kalman filter in an inertial measurement unit (IMU). We estimate Kalman filter output and estimation error. The affect of process noise and measurement noise on estimation error is tested. It is explored that the measurement noise has significant role to increase estimation error in the data fusion process." @default.
- W2549605736 created "2016-11-30" @default.
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- W2549605736 date "2014-05-31" @default.
- W2549605736 modified "2023-09-26" @default.
- W2549605736 title "Error and Noise Analysis in an IMU using Kalman Filter" @default.
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- W2549605736 doi "https://doi.org/10.14257/ijhit.2014.7.3.06" @default.
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