Probabilistisk lokalisering och kartering, 4 hp
Kursuppgifter
Forskarutbildningsämne
- Datavetenskap
Kursplan
Kontaktpersoner
-
Franziska Klügl, Professor
019 303925 -
Josefin Unander-Scharin, Utbildnings- och forskningsadministratör
019 303909
Course content
The course covers the following contents in the context of probabilistic localisation and mapping:
- Bayes filtering
- Kalman filters
- Particle filters
- Monte Carlo optimisation
- Robot motion and sensor models
- SLAM (simultaneous localisation and mapping)
- Data association
Course information
If you are interested in taking this course, please contact the research administration for more information: