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Lecture
Kalman Filter: Linearized vs Extended
Description
This lecture explains the concept of a linearized Kalman filter and its limitations when dealing with strong nonlinear cases. The instructor introduces the extended Kalman filter as a method to address these limitations by continuously updating the estimated trajectory based on observations, moving away from the linearized approach.
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