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Sensor Fusion and Non-linear Filtering for Automotive Systems

Teacher

Lars Hammarstrand

Position

Categories

Reviews

NYR/5
NYR

Tutorial Price

$Free: Add a Verified Certificate for $299 USD
https://www.edx.org/course/sensor-fusion-and-non-linear-filtering-for-automot

Level

NYR

Duration

6 Weeks

# of Reviews

Module Type

On demand video

Basics of Bayesian statistics and recursive estimation theory Describe and model common sensors, and their measurements Compare typical motion models used for positioning, in order to know when to use them in practical problems Describe the essential properties of the Kalman filter (KF) and apply it on linear state space models Implement key nonlinear filters in Matlab, in order to solve problems with nonlinear motion and/or sensor models Select a suitable filter method by analysing the properties and requirements in an application

Instructors

Lars Hammarstrand

Link to Course

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