EKF: State Augmentation

In course

Ex ea dolore do anim sit anim amet ut est fugiat. Cupidatat dolor reprehenderit duis labore aute non proident non laboris reprehenderit ea eu labore elit. Pariatur tempor ut incididunt sunt consequat exercitation esse exercitation nostrud et incididunt irure.

Description

This lecture covers the Extended Kalman Filter (EKF) with inertial motion prediction, state augmentation for time-correlated errors, and feedback error control. Topics include system and error states, evolution equations, and practical applications.

This video is available exclusively on Mediaspace for a restricted audience. Please log in to MediaSpace to access it if you have the necessary permissions.

Watch on Mediaspace

Instructor

est in

Tempor duis sunt duis deserunt sint labore occaecat veniam velit id nostrud enim deserunt ad. Dolore minim nisi adipisicing minim reprehenderit labore in enim. Fugiat ex pariatur veniam non id aliqua aute et ipsum elit est veniam est.

Official source

https://mediaspace.epfl.ch/media/0_s2bgur2u

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Ontological neighbourhood

Physics

Mechanics: Classical mechanics

Related lectures (32)