We use cookies to ensure you have the best browsing experience on our website and to help us improve the site. By continuing to browse the site you are agreeing to our use of cookies. Read more about how we use cookies here

This page in Swedish

Probabilistic Localisation and Mapping, 4 credits

Course information

Research Education Subject

  • Computer Science

Course Syllabus

Course Syllabus


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