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Add hyperlink for section 1.3.9
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Diff for: 01 - ROS and Sensor Fusion Tutorial.md

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### 3.9 Kalman Filter Tuning
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### 3.9 Kalman Filter Tuning <a name="3.9"></a>
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[go to top](#top)
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Before we can begin tuning the Kalman Filter implemented in the robot_localization package, we need to know the parameters we can actually change:
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> - Process Noise
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> - Also called the Q matrix
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> - "How much noise your equations add to the state estimate"
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> - "How sure you are your equations model the actual physical reality"
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> - "How sure you are that your equations model actual physical reality"
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> - Higher variances cause the Kalman Filter to trust incoming measurements more
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> - Initial Estimate
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> - Also called the R matrix

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