Robotics Research Lab


Thomas Pfister was born in Kirchheimbolanden in October 1982.  He joined University of Kaiserslautern in 2003 to study computer science and graduated in 2010. His diploma thesis addressed the performance evaluation of multisensor-datafusion algorithms. Since August 2010, Mr. Pfister is a Ph.D. student at the Robotics Research Lab. As part of the SafeCAr project he realized Kalman filter based localization system. Since 2012 Mr. Pfister is involved in the ICARUS project to develop two mobile ground robots for search and rescue missions. His topics of research are the improvement of robots perception by increasing the robustness and accuracy in sensor measurements.


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  • Beurteilung von Multisensor-Fusionsalgorithmen.
    Thomas Pfister and Robotics Research Lab, Department of Computer Sciences, University of Kaiserslautern
  • Sensor Failure Detection Capabilities in Low-Level Fusion. A Comparison Between Fuzzy Voting and Kalman Filtering.
    Sebastian Blank, Thomas Pfister and Karsten Berns
    IEEE International Conference on Robotics and Automation (ICRA), S. 4974 - 4979. (2011-May)
  • Safe Automotive Software.
    Karl Heckemann, Manuel Gesell, Thomas Pfister, Karsten Berns, Klaus Schneider and Mario Trapp
    15th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems, Vol. 6884, S. 167 - 176. (2011-September 12-14)
  • Real-time face pose estimation from single range images.
    M Breitenstein, D Kuettel, T Weise, L Gool and H Pfister
    Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on, S. 1 - 8. (2008-june)
  • Unmanned Ground Vehicles for Urban Search and Rescue in the EU-FP7 Project ICARUS.
    Thomas Pfister and Karsten Berns
    Proceedings of the 3rd Commercial Vehicle Technology Symposium (CVT 2014), S. 13 - 22. (2014-March 11-13)
  • Using OpenStreetMap for Autonomous Mobile Robot Navigation.
    Patrick Fleischmann, Thomas Pfister, Moritz Oswald and Karsten Berns
    Proceedings of the 14th International Conference on Intelligent Autonomous Systems (IAS-14), (2016-July 3-7)
  • Robust Localization for Mobile Robots in Forest Environments.
    Thomas Pfister
    RRLab Dissertations, Verlag Dr. Hut, München (2017-April) ISBN-13: 978-3-8439-3118-2


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