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Kalman Filter

Based on the wikipedia example

Consider a truck on frictionless, straight rails. Initially, the truck is stationary at position 0, but it is buffeted this way and that by random uncontrolled forces. We measure the position of the truck every Δt seconds, but these measurements are imprecise; we want to maintain a model of where the truck is and what is its velocity.

Results

Kalman Filter Position Results Kalman Filter Velocity Results

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A Kalman Filter written in python

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