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Mathis Brosowsky

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2020 – today

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2022
[c5]
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  dblp key:
  - conf/vehits/ElspasLBBS22
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  - https://dblp.org/rec/conf/vehits/ElspasLBBS22
Philip Elspas, Jonas Lindner, Mathis Brosowsky, Johannes Bach, Eric Sax:
Towards a Scenario Database from Recorded Driving Data with Regular Expressions for Scenario Detection. VEHITS 2022: 400-409
2021
[c4]
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  - conf/aaai/BrosowskyKD021
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Mathis Brosowsky, Florian Keck, Olaf Dünkel, Marius Zöllner:
Sample-Specific Output Constraints for Neural Networks. AAAI 2021: 6812-6821
[c3]
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  - conf/ivs/BrosowskyKKISZ21
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Mathis Brosowsky, Florian Keck, Jakob Ketterer, Simon T. Isele, Daniel Slieter, Johann Marius Zöllner:
Safe Deep Reinforcement Learning for Adaptive Cruise Control by Imposing State-Specific Safe Sets. IV 2021: 488-495
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Simon T. Isele, Fabian E. Klein, Mathis Brosowsky, J. Marius Zöllner:
Learning Semantics on Radar Point-Clouds. IV 2021: 810-817
[c1]
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  - conf/ssci/BrosowskyODESZ21
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Mathis Brosowsky, Paul Orschau, Olaf Dünkel, Philip Elspas, Daniel Slieter, Marius Zöllner:
Joint Vehicle Trajectory and Cut-In Prediction on Highways using Output Constrained Neural Networks. SSCI 2021: 1-9
2020
[i1]
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  - electronic edition @ arxiv.org (open access)
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  - journals/corr/abs-2003-10258
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Mathis Brosowsky, Olaf Dünkel, Daniel Slieter, Marius Zöllner:
Sample-Specific Output Constraints for Neural Networks. CoRR abs/2003.10258 (2020)

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