Sensor fusioning with Kalman filter
I'm interested, how is the dual input in a sensor fusioning setup in a Kalman filter modeled? Say for instance that you have an accelerometer and a gyro and want to present the "horizon level", like in an airplane, a good demo of something like this here. How do you actually harvest the two sensors positive properties and minimize the ...