- AUTOtech.agil: Architecture and Technologies for Orchestrating Automotive Agility. In: 32nd Aachen Colloquium Sustainable Mobility. RWTH Aachen University, 2023, 49 mehr… BibTeX Volltext ( DOI ) Volltext (mediaTUM)
- Clustering of the Scenario Space for the Assessment of Automated Driving. Intelligent Vehicles Symposium 2020, 2020 mehr… BibTeX Volltext (mediaTUM)
- Virtual Assessment of Automated Driving: Methodology, Challenges, and Lessons Learned. SAE International Journal of Connected and Automated Vehicles 2 (4), 2019 mehr… BibTeX Volltext ( DOI )
- A Method for Identifying Most Significant Vehicle Parameters for Controller Performance of Autonomous Driving Functions. SAE International Journal of Advances and Current Practices in Mobility 1 (3), 2019, 996-1005 mehr… BibTeX Volltext ( DOI )
- Methods for Improving the Accuracy of the Virtual Assessment of Autonomous Driving. Proceedings of the 8th International Conference on Connected Vehicles and Expo 2019, 2019 mehr… BibTeX
- PEGASUS - Test Case Variation and Execution. PEGASUS Symposium 2019, 2019 mehr… BibTeX Volltext (mediaTUM)
- PEGASUS - Verification. PEGASUS Symposium 2019, 2019 mehr… BibTeX Volltext (mediaTUM)
- Online Path Generation from Sensor Data for Highly Automated Driving Functions. Proceedings of the 22nd IEEE International Conference on Intelligent Transportation Systems, 2019 mehr… BibTeX Volltext ( DOI ) Volltext (mediaTUM)
- Towards Cross-Verification and Use of Simulation in the Assessment of Automated Driving. Intelligent Vehicles Symposium 2019, 2019 mehr… BibTeX Volltext ( DOI ) Volltext (mediaTUM)
- Simulation and Its Contribution to Evaluate Highly Automated Driving Functions. SAE International Journal of Advances and Current Practices in Mobility 1 (2), 2019, 539-549 mehr… BibTeX Volltext ( DOI )
- Using Time-to-React based on Naturalistic Traffic Object Behavior for Scenario-Based Risk Assessment of Automated Driving. 2018 IEEE Intelligent Vehicles Symposium (IV), IEEE, 2018 mehr… BibTeX Volltext ( DOI )
Sebastian Wagner, M.Sc.
Contact Information
sebastian.wagner(at)tum.de | |
Room | HB 2.02.19 |
Phone | +49.89.289.17633 |
Fax | +49.89.289.18107 |
Address | Institut für Informatik VI |
Office | Parkring 13 85748 |
Curriculum Vitae
2011 | Allgemeine Hochschulreife at the Werdenfels-Gymnasium in Garmisch-Partenkirchen, Germany |
2014 | B.Sc in Electrical Engineering at the Technische Universität München |
2016 | M.Sc in Electrical Engineering at the Technische Universität München |
Since 2017 | Research Assistant / PhD. Candidate at the Technische Universität München |
Research Interest
My research is dedicated to the question on how one can efficiently assess the reliability of automated driving functions over the whole space of possible driving situations by the use of virtual test domains.
- Autonomous Driving
- Testing Methods
- Scene Risk Assessment
Supervised Thesis
- Bachelor Thesis: Befähigung einer Gaming Engine zur Darstellung prototypischer Anzeigen und Bedienfunktionen im Versuchsfahrzeug, Philip Hagemann, BMW M GmbH
- Master Thesis: Development of a method for deriving a vehicle dynamic model from real world experiments for highly automated driving simulation, Martin Sigl, BMW M GmbH
- Master Thesis: Systematic Variation of Driving Scenarios for the Assessment of Automated Driving, Amar Šaljić
- Master Thesis: Deriving a Neuronal Architecture for Scenario Based Multi-Sensor Input Intelligent Roadmodels for Automated Driving Functions, Tim Salzmann, BMW of North America
- Master Thesis: Online Modelling and Validation of Map Data for Autonomous Driving in Urban Scenarios, Felix Drost, BMW Group
- Master Thesis: Deriving a Distance Function for Scenario Clustering to Estimate the Required Test Coverage of Automated Vehicles, Jonas Kerber, BMW of North America