About the profile

Features of the profile

The course program addresses state-of-the-art techniques for analyzing and interpreting sensor data and turning it into appropriate models. As a student in this profile, you will become familiar with complex multi-sensor systems. It involves combining different types of sensors like laser scanners, cameras, GNSS receivers, or inertial sensors. You will learn to implement algorithms to calibrate such sensors, use and analyze their data, and fuse different sensor data to estimate the vehicle's pose and the surrounding objects. Methods for kinematic pose estimation and pattern recognition and their use for interpreting image and laser data are key skills.

Besides numerous application areas, the faculty explicitly offers a unique opportunity for collaborating on smart-farming problems and innovative technologies for sustainable development. The study program will provide you with expertise in solution-oriented approaches, which are theoretically founded and on the frontier of current research activities. You will also learn skills in project management, teamwork, and the presentation of your work.

Outlook

The profile aims to provide students with the expertise and capabilities required to work in academia, research institutions, and robotics or geodetic technology companies. Courses are taught by internationally renowned experts in engineering geodesy, robotics, photogrammetry, and data analysis.