Thomas Kundinger, M.Sc.

  • driver drowsiness detection
  • wearables
  • Phone: +49 152 57767793
  • Room: AUDI T12-Ingolstadt / THI 1.OG HIL-Lab

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

Publications

BibBase kundinger, t
generated by bibbase.org
  2020 (5)
Feasibility of smart wearables for driver drowsiness detection and its potential among different age groups. Kundinger, T.; Yalavarthi, P. K.; Riener, A.; Wintersberger, P.; and Schartmüller, C. Int. J. Pervasive Comput. Commun., 16(1): 1–23. 2020.
Feasibility of smart wearables for driver drowsiness detection and its potential among different age groups [link]Paper   doi   bibtex  
Towards a Reliable Ground Truth for Drowsiness: A Complexity Analysis on the Example of Driver Fatigue. Kundinger, T.; Mayr, C.; and Riener, A. Proc. ACM Hum. Comput. Interact., 4(EICS): 78:1–78:18. 2020.
Towards a Reliable Ground Truth for Drowsiness: A Complexity Analysis on the Example of Driver Fatigue [link]Paper   doi   bibtex  
Assessment of the Potential of Wrist-Worn Wearable Sensors for Driver Drowsiness Detection. Kundinger, T.; Sofra, N.; and Riener, A. Sensors, 20(4): 1029. 2020.
Assessment of the Potential of Wrist-Worn Wearable Sensors for Driver Drowsiness Detection [link]Paper   doi   bibtex  
Driver drowsiness in automated and manual driving: insights from a test track study. Kundinger, T.; Riener, A.; Sofra, N.; and Weigl, K. In Paternò, F.; Oliver, N.; Conati, C.; Spano, L. D.; and Tintarev, N., editor(s), IUI '20: 25th International Conference on Intelligent User Interfaces, Cagliari, Italy, March 17-20, 2020, pages 369–379, 2020. ACM
Driver drowsiness in automated and manual driving: insights from a test track study [link]Paper   doi   bibtex  
The Potential of Wrist-Worn Wearables for Driver Drowsiness Detection: A Feasibility Analysis. Kundinger, T.; and Riener, A. In Kuflik, T.; Torre, I.; Burke, R.; and Gena, C., editor(s), Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2020, Genoa, Italy, July 12-18, 2020, pages 117–125, 2020. ACM
The Potential of Wrist-Worn Wearables for Driver Drowsiness Detection: A Feasibility Analysis [link]Paper   doi   bibtex  
  2019 (1)
(Over)Trust in Automated Driving: The Sleeping Pill of Tomorrow?. Kundinger, T.; Wintersberger, P.; and Riener, A. In Mandryk, R. L.; Brewster, S. A.; Hancock, M.; Fitzpatrick, G.; Cox, A. L.; Kostakos, V.; and Perry, M., editor(s), Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems, CHI 2019, Glasgow, Scotland, UK, May 04-09, 2019, 2019. ACM
(Over)Trust in Automated Driving: The Sleeping Pill of Tomorrow? [link]Paper   doi   bibtex  
  2018 (1)
Drowsiness Detection and Warning in Manual and Automated Driving: Results from Subjective Evaluation. Kundinger, T.; Riener, A.; Sofra, N.; and Weigl, K. In Proceedings of the 10th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2018, Toronto, ON, Canada, September 23-25, 2018, pages 229–236, 2018. ACM
Drowsiness Detection and Warning in Manual and Automated Driving: Results from Subjective Evaluation [link]Paper   doi   bibtex  
  2017 (1)
A Robust Drowsiness Detection Method based on Vehicle and Driver Vital Data. Kundinger, T.; Riener, A.; and Sofra, N. In Burghardt, M.; Wimmer, R.; Wolff, C.; and Womser-Hacker, C., editor(s), Mensch und Computer 2017 - Workshopband, Regensburg, Germany, September 10-13, 2017, 2017. Gesellschaft für Informatik e.V.
A Robust Drowsiness Detection Method based on Vehicle and Driver Vital Data [link]Paper   doi   bibtex  

Projects