Teaching Activities
Photogrammetry I
(Lecture, BSc GuG, summer)
Lecturer: Prof. Dr. C. Stachniss
Tutors: L. Wiesmann, J. Weyler
Slides & video recordings
Photogrammetry II
(Lecture, BSc GuG, winter)
Lecturer: Prof. Dr. C. Stachniss
Tutors: L. Wiesmann, J. Weyler
Slides & video recordings
Sensing and State Estimation I – Robotics
(Lecture, MSc GE, winter)
Lecturer: Prof. C. Stachniss & N. Chebrolu
Tutor: I. Vizzo
Sensing and State Estimation II – Robotics
(Lecture, MSc GE, summer)
Lecturer: Prof. C. Stachniss
Tutor: TBD
Photogrammetry & Remote Sensing
(Lecture, MSc, winter)
Lecturer: Prof. C. Stachniss & N. Chebrolu
Tutor: L. Nardi
3D Coordinate Systems
(Lecture, BSc, winter)
Lecturers: Prof. W. Förstner
Tutor: P. Lottes & J. Weyler
Video recordings by W. Förstner
Modern C++ for Computer Vision
(Lecture & Coding, MSc GuG & GE, summer)
Lecturers: I. Vizzo & Prof. Dr. C. Stachniss
Youtube video recordings
Robot Perception using ROS
(Lecture & Coding, MSc GuG & GE, winter)
Lecturer: Prof. Dr. C. Stachniss, A. Milioto & J. Behley
Master Project
(Project, MSs GuG & GE, summer & winter)
Lecturers: Prof. C. Stachniss & Prof. H. Kuhlmann
Supervisors: L. Nardi, A. Milioto, P. Lottes, X. Chen, L. Klingbeil, E. Heinz
Recorded Lectures

Photogrammetry I & II
For the Photogrammetry I & II course, we provide video recordings through Youtube as well as the slides including Powerpoint source files (pptx with TexPoint).
Please visit the course page for more details.
Video recordings are available through YouTube: 2015/16 Playlist

Robot Mapping
This course addresses the simultaneous localization and mapping or SLAM problem in robotics. This course has been designed and taught by Cyrill Stachniss in Freiburg but the video recordings and slides are available through the course page.
Video recordings are available through YouTube: 2013 Playlist

Modern C++
Course page with all course material.
This course provides a short introduction to C++ with links some to image processing with OpenCV. The lectures are given by Igor Bogoslavskyi. Furthermore, this course is accompanied with a coding project on visual place recognition.
Ongoing video recordings are available through YouTube: 2018 playlist