Course description

The use of vision in robotic localization and mapping has recently become a major topic in robotics and computer vision research.

Starting from natural and artificial vision, the course provides knowledge of visual processes including attention and detection of interest points. Robotic localization and mapping problems are introduced from the probabilistic filtering viewpoint, which is currently the most prominent solution. After covering the topics individually, the course concludes by putting these topics together and more specialized topics for visual simultaneous localization and mapping are covered.

The course consists of lectures, hands-on lab assignments, a groupwork assignment, and presentations of the groupworks.