Philipp Reis

According to our database, Philipp Reis authored at least 15 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

A Domain-Specific Language for LLM-Driven Trigger Generation in Multimodal Data Collection.

Philipp Reis, Philipp Rigoll, Martin Zehetner, Jacqueline Henle, Stefan Otten, Eric Sax

CoRR, April, 2026

From Big Data to Fast Data: Towards High-Quality Datasets for Machine Learning Applications from Closed-Loop Data Collection.

Philipp Reis, Jacqueline Henle, Stefan Otten, Eric Sax

CoRR, March, 2026

Generative AI in Systems Engineering: A Framework for Risk Assessment of Large Language Models.

Stefan Otten, Philipp Reis, Philipp Rigoll, Joshua Ransiek, Tobias Schürmann, Jacob Langner, Eric Sax

CoRR, February, 2026

2025

A Feedback-Control Framework for Efficient Dataset Collection from In-Vehicle Data Streams.

Philipp Reis, Philipp Rigoll, Christian Steinhauser, Jacob Langner, Eric Sax

CoRR, November, 2025

Structuring Automotive Data for Systems Engineering: A Taxonomy-Based Approach.

Carl Philipp Hohl, Philipp Reis, Tobias Schürmann, Stefan Otten, Eric Sax

CoRR, October, 2025

A Data-Driven Novelty Score for Diverse In-Vehicle Data Recording.

Philipp Reis, Joshua Ransiek, David Petri, Jacob Langner, Eric Sax

CoRR, July, 2025

A Framework for a Capability-driven Evaluation of Scenario Understanding for Multimodal Large Language Models in Autonomous Driving.

Tin Stribor Sohn, Philipp Reis, Maximilian Dillitzer, Johannes Bach, Jason J. Corso, Eric Sax

CoRR, March, 2025

Adversarial and Reactive Traffic Entities for Behavior-Realistic Driving Simulation: A Review.

Joshua Ransiek, Philipp Reis, Tobias Schürmann, Eric Sax

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2025

Data Quality Matters: Quantifying Image Quality Impact on Machine Learning Performance.

Christian Steinhauser, Philipp Reis, Hubert Padusinski, Jacob Langner, Eric Sax

Proceedings of the IEEE Intelligent Vehicles Symposium, 2025

A Data-Driven Novelty Score for Diverse in-Vehicle Data Recording.

Philipp Reis, Joshua Ransiek, David Petri, Tobias Schürmann, Jacob Langner, Eric Sax

Proceedings of the 28th IEEE International Conference on Intelligent Transportation Systems, 2025

ZeloS - A Research Platform for Early-Stage Validation of Research Findings Related to Automated Driving.

Christopher Bohn, Florian Siebenrock, Janne Bosch, Tobias Hetzner, Samuel Mauch, Philipp Reis, Timo Staudt, Manuel Hess, Ben-Micha Piscol, Sören Hohmann

Proceedings of the IEEE Conference on Control Technology and Applications, 2025

2024

Adversarial and Reactive Traffic Agents for Realistic Driving Simulation.

Joshua Ransiek, Philipp Reis, Eric Sax

CoRR, 2024

Behavior Forests: Real-Time Discovery of Dynamic Behavior for Data Selection.

Philipp Reis, Philipp Rigoll, Eric Sax

Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024

Comparison of Dimension Reduction Methods for Multivariate Time Series Pattern Recognition.

Patrick Petersen, Hanno Stage, Philipp Reis, Jonas Rauch, Eric Sax

Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods, 2024

2023

Time and Memory-Efficient Computation of Hamilton-Jacobi Reachable Sets Based on a Level Set Method Employing Adaptive Grids.

Christopher Bohn, Philipp Reis, Manuel Schwartz, Sören Hohmann

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023