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Understanding the Linear Kalman Filter algorithm
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State prediction and measurement update steps
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Kalman Filter implementation for localization
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Analysis of KF assumptions and limitations
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Practical exercise: Implementing KF for vehicle tracking using simulated GPS and IMU data
