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In this course, you will :
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Understand the key methods for parameter and state estimation used for autonomous driving, such as the method of least-squares
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Develop a model for typical vehicle localization sensors, including GPS and IMUs
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Apply extended and unscented Kalman Filters to a vehicle state estimation problem
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Apply LIDAR scan matching and the Iterative Closest Point algorithm
