Introduction to the course (slides)
Robots and Sensors (slides)
Probability Recap (slides)
Bayesian Networks (slides)
Dynamic Bayesian Networks and Inference (slides)
Gaussian Distribution (slides)
Exercise (pdf)
Grid Orazio Localization (slides)(source)
Grid Orazio Localization w/ Orientation (slides)(source)
(E)KF (slides)Â
Exercises on filtering (notes)
methodology
various examples
unycicle model
Localizing in a landmark world (slides)(source)(solution)
Localizing bearing only (slides)(source)(solution)
SLAM with EKF (slides)(source)
Handling Unknown Correspondences (slides)