Lecture on estimation for localization and tracking of autonomous mobile robots. This task relies on methods to model and estimate the state of a mobile robot, to treat model errors and sensor noise, and to fuse data from multiple sensors.

Seminar on optimization methods in robotic applications, which include simultaneous localization and mapping as well as multiple object tracking.

Seminar on the secure sensor data processing and its various applications in robots, autonomous mobility, cloud computing, and Industry 4.0.

Lab/DE project on object localization in a camera network. Distrbuted sensor fusion methods are implemented to track objects with distributed cameras.

Lab/DE project on extended-object tracking with event cameras. New algorithms are developed to estimate pose and shape of an extended object using asynchronous measurements.