
Dr. Thomas Kundinger
- driver drowsiness detection
- wearables
- E-Mail: thomas1.kundinger@audi.de
- Phone: +49 152 57767793
- Room: CARIAD SE, AUDI AG TE Geb. T12 1. OG
Short Biography
Thomas Kundinger, born in Eichstätt, received his B. Sc and M. Sc. degree in Electrical Engineering and Information Technology from Technical University of Munich (TUM) in March 2014 and April 2017, respectively. He wrote his Master Thesis at the Institute for Human-Machine Communication at TUM in cooperation with Audi Electronics Venture GmbH in Gaimersheim on the topic “Using bus data and machine learning for adapting a human-machine-interface to reduce driver distraction”. From May 2017 – April 2020, he was a Ph.D. candidate at AUDI AG in cooperation with Technische Hochschule Ingolstadt (THI) and Johannes Kepler University (JKU) in Linz, Austria. His research interests focused on driver drowsiness detection using wearable devices and in-vehicle sensors for future automated driving. Since May 2020, he is working as a project leader in the area of driver state detection, and HMI development for advanced driver assistance systems (ADAS) and automated driving at the Car.Software Organization in Ingolstadt.
Topics of Research
- Conduction of studies for the investigation of driver drowsiness for future automated driving
- Investigation of the suitability of physiological measures in general and based on wearable devices (e.g. fitness tracker, smartwatches) for accurate and reliable detection of driver drowsiness
- Investigation of additional in-vehicle sensors that are to be considered to increase the reliability and accuracy of the drowsiness detection system
- Design and investigation of new modeling approaches/detection algorithms and evaluation along with existing mechanisms that are suitable for different levels of automation and across individuals
Conducted Courses
- WS19/20: Software development I (1st Semester UXD)
- SS19: Software development II (2nd Semester UXD)
- WS18/19: Software development I (1st Semester UXD)
- SS18: Software development II (2nd Semester UXD)
- WS17/18: Software development I (1st Semester UXD)
Offered Theses
Open
Ongoing
Completed
- Bachelor’s Thesis: Evaluation and Analysis of Facial Expressions for Detection of Drowsiness using Image Processing
- Master’s Thesis: Driver Drowsiness Detection based on Video Data
- Master’s Thesis: Integration of Wearable Devices into the Vehicle for Driver State Detection in Automated Driving