Kalman Filters: Estimation and Localization

In course

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Description

This lecture covers the theory and application of Kalman Filters for estimation and localization in robotics. Topics include time-discrete motion and measurement models, multi-dimensional Kalman Filters, components of a Kalman Filter, and working around Kalman Filter limitations with Particle Filters.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_1zaskzl3

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