Ömer Sahin Tas

Dr.-Ing. Ömer Sahin Tas

  • FZI Forschungszentrum Informatik
    Haid-und-Neu-Str. 10–14
    76131 Karlsruhe, Germany

Forschung

  • Decision-making under uncertainty
  • Deep Reinforcement Learning
  • Meta Learning
  • AI Safety

Akademische Dienste

  • Associate Editor for
    • IEEE ITS Intelligent Vehicles Symposium (IV)
  • Reviewer for
    • IEEE ITS Transactions on Intelligent Vehicles (TIV)
    • IEEE ITS Transactions on Intelligent Transportation Systems (T-ITS)
    • IEEE ITS Intelligent Transportation Systems Magazine (ITS-M)
    • IEEE ITS Intelligent Vehicles Symposium (IV)
    • IEEE ITS Intelligent Transportation Systems Conference (ITSC)
    • IEEE RAS International Conference for Robotics and Automatisation (ICRA)
    • IEEE RAS International Conference on Intelligent Robots and Systems (IROS)
    • Asian Conference for Machine Learning (ACML)
    • AIAA Journal of Aerospace Information Systems
    • De Gruyter Automatisierungstechnik (at)
  • Chair of workshops
    • Bridging the gap between map-based and map-less driving at IV'23 in Anchorage, USA
    • Bridging the gap between map-based and map-less driving at IV'22 in Aachen, Germany
    • Probabilistic Prediction and Comprehensible Motion Planning for Automated Vehicles at ITSC'20 in Rhodes, Greece

Lehre

Zu vergebende Abschlussarbeiten

Veröffentlichungen

Royden Wagner, Marvin Klemp, Carlos Fernandez Lopez, Ömer Sahin Tas. Road Barlow Twins: Redundancy Reduction for Motion Prediction. In IEEE ICRA2023 Workshop on Pretraining for Robotics (PT4R), London, UK, June 2023. [ http ]

Ömer Sahin Tas, Philipp Heinrich Brusius, Christoph Stiller. Decision-theoretic MPC: Motion Planning with Weighted Maneuver Preferences Under Uncertainty. arXiv preprint arXiv:2310.17963, 2023. [ .pdf ]

Christoph Burger, Johannes Fischer, Frank Bieder, Ömer Sahin Tas, Christoph Stiller. Interaction-Aware Game-Theoretic Motion Planning for Automated Vehicles Using Bi-level Optimization. In 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), Seiten 3978--3985, Macau, China, October 2022. (2nd Place "Best Paper Award"). [ DOI | .pdf ]

Mohit Kumar, Peter Strauss, Sven Kraus, Ömer Sahin Tas, Christoph Stiller. Sharpness Continuous Trajectory Optimization and Sparsification for Automated Vehicles. In Proc. IEEE Intell. Veh. Symp., Aachen, Germany, 06 2022.

Mohit Kumar, Andreas Haas, Peter Strauss, Sven Kraus, Ömer Sahin Tas, Christoph Stiller. Conception and Experimental Validation of a Model Predictive Control (MPC) for Lateral Control of a Truck-Trailer. In Proc. IEEE Intell. Veh. Symp., Aachen, Germany, 06 2022.

Ömer Sahin Tas. Motion Planning for Autonomous Vehicles in Partially Observable Environments. Dissertation, Institut für Mess- und Regelungstechnik, Karlsruher Institut für Technologie (KIT), Karlsruhe, 2022. [ DOI | http ]

Ömer Sahin Tas, Felix Hauser, Martin Lauer. Efficient Sampling in POMDPs for Motion Planning Using Multi-armed Bandits in Continuous Spaces. In Proc. IEEE Intell. Veh. Symp., Nagoya, Japan, July 2021. [ .pdf ]

Johannes Fischer, Ömer Sahin Tas. Information Particle Filter Tree: An Online Algorithm for POMDPs with Belief-Based Rewards on Continuous Domains. In Proceedings of the 37th International Conference on Machine Learning (ICML), Vienna, Austria, July 2020. [ .html ]

Ömer Sahin Tas, Christoph Stiller. Tackling Existence Probabilities of Objects with Motion Planning for Automated Urban Driving. In Robotics: Science and Systems (RSS) - Interaction and Decision-Making in Autonomous-Driving workshop, July 2020. [ .pdf ]

Martin Lauer, Ömer Sahin Tas. Machbarkeitsstudie zum automatisierten Fahren von HO-LKWs im Murgtal. Technical report, FZI Forschungszentrum Informatik, 12 2019. [ DOI | http ]

Ömer Sahin Tas, Felix Hauser, Christoph Stiller. Decision-Time Postponing Motion Planning for Combinatorial Uncertain Maneuvering. In Proc. IEEE Intell. Trans. Syst. Conf., Hawaii, USA, November 2018. [ .pdf ]

Ömer Sahin Tas, Christoph Stiller. Limited Visibility and Uncertainty Aware Motion Planning for Automated Driving. In Proc. IEEE Intell. Veh. Symp., Changshu, China, June 2018. [ .pdf ]

Ö. S. Tas, N. O. Salscheider, F. Poggenhans, S. Wirges, C. Bandera, M. R. Zofka, T. Strauss, J. M. Zöllner, C. Stiller. Making Bertha Cooperate -Team AnnieWAY's Entry to the 2016 Grand Cooperative Driving Challenge. IEEE Transactions on Intelligent Transportation Systems, 19(4):1262--1276, April 2018. [ DOI | http ]

Ömer Sahin Tas, Stefan Hörmann, Bernd Schäufele, Florian Kuhnt. Automated Vehicle System Architecture with Performance Assessment. In Proc. IEEE Intell. Trans. Syst. Conf., Yokohama, Japan, October 2017. [ .pdf ]

Jannik Quehl, Haohao Hu, Ömer Sahin Tas, Eike Rehder, Martin Lauer. How Good is My Prediction? Finding a Similarity Measure for Trajectory Prediction Evaluation. In Proc. IEEE Intell. Trans. Syst. Conf., Yokohama, Japan, October 2017. [ http ]

Maximilian Naumann, Piotr Orzechowski, Christoph Burger, Ömer Sahin Tas, Christoph Stiller. Herausforderungen für die Verhaltensplanung kooperativer automatischer Fahrzeuge. In AAET Automatisiertes und vernetztes Fahren, Beiträge zum gleichnamigen 18. Braunschweiger Symposium vom 8. und 9. Februar 2017, Seiten 287--307, Braunschweig, Germany, Feb 2017. ITS automotive nord e.V. ISBN: 978-3-937655-41-3. [ .pdf ]

André-Marcel Hellmund, Sascha Wirges, Ömer Sahin Tas, Claudio Bandera, Niels Ole Salscheider. Robot Operating System: A Modular Software Framework for Automated Driving. In Proceedings of the IEEE Intelligent Transportation Systems Conference (ITSC), Rio de Janeiro, Brazil, November 2016. [ .pdf ]

Ömer Sahin Tas, Florian Kuhnt, Marius Zöllner, Christoph Stiller. Functional System Architectures towards Fully Automated Driving. In Proceedings of the IEEE Intelligent Vehicles Symposium (IV), Gothenburg, Sweden, June 2016. [ .pdf ]

Philipp Bender, Ömer Sahin Tas, Julius Ziegler, Christoph Stiller. The combinatorial aspect of motion planning: Maneuver variants in structured environments. In IEEE Intelligent Vehicles Symposium (IV), Seiten 1386--1392. IEEE, June 2015. [ http ]