Seminar Media Technology

Lecturer (assistant)
TypeAdvanced seminar
Duration3 SWS
TermWintersemester 2019/20
Language of instructionGerman
Position within curriculaSee TUMonline
DatesSee TUMonline


Admission information

See TUMonline
Note: registration via TUMOnline


Participants deepen their knowledge in the area of media technology. After completing the course, students are able to scientifically work on a topic in the area of media technology, write a scientific paper and give a scientific talk.


Selected topics in media technology. The focus is on current research topics and new technologies. The participants study recent publications, prepare a summary in the form of a scientific paper and present the topic to the audience.


No specific requirements

Teaching and learning methods

Every participant works on his/her own topic. The goal of the seminar is to train and enhance the ability to work independently on a scientific topic. Every participant is supervised individually by an experienced researcher. This supervisor helps the student to get started, provides links to the relevant literature and gives feedback and advice on draft versions of the paper and the presentation slides.. The main teaching methods are: - Computer-based presentations by the student - The students mainly work with high quality and recent scientific publications


- Scientific paper (30%) - Interaction with the supervisor and working attitude (20%) - Presentation (30 minutes) and discussion (15 minutes) (50%)

Recommended literature

The following literature is recommended: - will be announced in the seminar


Subject WS19/20: Autonomous Driving Methods

The planned topics for this semester will be:

1. Teleoperation for Autonomous Driving Failures (Markus H.)
2. Safety Concepts for Teleoperated Driving (Markus H.)
3. Early Failure Prediction in Autonomous Driving (Christopher K.)
4. Out-Of-Distribution Detection for Autonomous Driving (Christopher K.)
5. Visual SLAM Methods (Sebastian E.)
6. Path Planning (Martin P.)
7. Driver intention/motion prediction (Martin P.)
8. Personalized Autonomous Driving: Learning from Driver Demonstrations (Basak G.)
9. Multi-modal Object Detection (Michael A.)
10. Predictive Methods for Network Delay Compensation by Teledriving (Furkan K.)
11. Vision Enhancement for Autonomous Driving under Adverse Weather Conditions (Kai C.)
12. Self-supervised Learning of Depth Estimation and Ego-Motion from Monocular Videos using Convolutional Neural Networks (Martin O.)

A detailed version of all topics can be downloaded here.

The Kickoff-Meeting is scheduled for 16.10.2019, 1:15 pm, room 0406. 

Attending the Kickoff-Meeting is mandatory to get registered for this course.