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Standard navigation uses a world Positioning Process to Find the receiver, that's considerably less precise and provides considerably less Recurrent updates. Alternatively, accelerometer and gyroscope give accurate navigation to a little length owing on the accumulation of integral drift error. We intention to combine the two navigation techniques to improve lengthy-range navigation and attitude computation by using Kalman Filter estimation.
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