Sample-Specific Output Constraints for Neural Networks. - Mathis Brosowsky; Olaf Dünkel; Daniel Slieter; Marius Zöllner 001 (CoRR, 2020)

Sample-Specific Output Constraints for Neural Networks. - Mathis Brosowsky; Florian Keck; Olaf Dünkel; Marius Zöllner 001 (AAAI, 2021)

Safe Deep Reinforcement Learning for Adaptive Cruise Control by Imposing State-Specific Safe Sets. - Mathis Brosowsky; Florian Keck; Jakob Ketterer; Simon T. Isele; Daniel Slieter; Johann Marius Zöllner (IV, 2021)

Learning Semantics on Radar Point-Clouds. - Simon T. Isele; Fabian E. Klein; Mathis Brosowsky; J. Marius Zöllner (IV, 2021)

Joint Vehicle Trajectory and Cut-In Prediction on Highways using Output Constrained Neural Networks. - Mathis Brosowsky; Paul Orschau; Olaf Dünkel; Philip Elspas; Daniel Slieter; Marius Zöllner 001 (SSCI, 2021)

Towards a Scenario Database from Recorded Driving Data with Regular Expressions for Scenario Detection. - Philip Elspas; Jonas Lindner; Mathis Brosowsky; Johannes Bach; Eric Sax (VEHITS, 2022)