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ORCIDSebastian Wagner 0006
Person information
- affiliation: BMW AG, München, Germany
- affiliation (former): TU München, Germany
Other persons with the same name
- Sebastian Wagner — disambiguation page
- Sebastian Wagner 0001 — University of Stuttgart, Germany
- Sebastian Wagner 0002 — Intel Mobile Communications, Sophia Antipolis, France
- Sebastian Wagner 0003 — Fraunhofer IGD
- Sebastian Wagner 0004 — University of Freiburg, Germany
- Sebastian Wagner 0005 — LMU Munich, Germany
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2020 – today
- 2022
[c7]Martin Sigl, Andreas Lebherz, Christoph Schütz, Sebastian Wagner, Daniel Watzenig:
Comparing a Linear Filter with a ML-based Approach for Modeling Perception Errors of Automated Vehicles. ICCVE 2022: 1-7- 2021
- [b1]Sebastian Wagner:
Efficient scenario-based assessment of automated driving systems through virtual testing (Effiziente Szenarien-basierte Bewertung von automatisierten Fahrfunktionen durch virtuelles Testen). Technical University of Munich, Germany, 2021 - [c6]Martin Sigl, Christoph Schütz, Sebastian Wagner, Daniel Watzenig:
Modeling Perception Errors of Automated Vehicles. VTC Spring 2021: 1-6 - 2020
- [c5]Jonas Kerber, Sebastian Wagner, Korbinian Groh, Dominik Notz, Thomas Kühbeck, Daniel Watzenig, Alois C. Knoll:
Clustering of the Scenario Space for the Assessment of Automated Driving. IV 2020: 578-583
2010 – 2019
- 2019
- [c4]Dominik Notz, Martin Sigl, Thomas Kühbeck, Sebastian Wagner, Korbinian Groh, Christoph Schütz, Daniel Watzenig:
Methods for Improving the Accuracy of the Virtual Assessment of Autonomous Driving. ICCVE 2019: 1-6 - [c3]Tim Salzmann, Julian Thomas, Thomas Kühbeck, Jou-ching Sung, Sebastian Wagner, Alois C. Knoll
:
Online Path Generation from Sensor Data for Highly Automated Driving Functions. ITSC 2019: 1807-1812 - [c2]Sebastian Wagner, Korbinian Groh, Thomas Kühbeck, Alois C. Knoll:
Towards Cross-Verification and Use of Simulation in the Assessment of Automated Driving. IV 2019: 1589-1596 - 2018
- [c1]Sebastian Wagner, Korbinian Groh, Thomas Kühbeck, Michael Dorfel, Alois C. Knoll:
Using Time-to-React based on Naturalistic Traffic Object Behavior for Scenario-Based Risk Assessment of Automated Driving. Intelligent Vehicles Symposium 2018: 1521-1528
Coauthor Index
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