Maximilian Dillitzer

According to our database, Maximilian Dillitzer authored at least 6 papers between 2024 and 2025.

Collaborative distances:

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

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

Large Language Model-Informed Geometric Trajectory Embedding for Driving Scenario Retrieval.

Tin Stribor Sohn, Maximilian Dillitzer, Tim Brühl, Robin Schwager, Tim Dieter Eberhardt, Michael Auerbach, Eric Sax

Proceedings of the 11th International Conference on Vehicle Technology and Intelligent Transport Systems, 2025

Repurposing Alternators as Motors: Promoting Sustainability and Circular Economy in Low-Cost Mobility Systems.

Maximilian Dillitzer, Patrick Issle, Julian Schwarz, Tin Stribor Sohn, Michael Auerbach, Wolfgang Gruel

Proceedings of the 14th International Conference on Smart Cities and Green ICT Systems, 2025

Drive4C: A Closed-Loop Benchmark on What Foundation Models Really Need to Be Capable of for Language-Guided Autonomous Driving.

Tin Stribor Sohn, Maximilian Dillitzer, Johannes Bach, Jason J. Corso, Tim Brühl, Robin Schwager, Tim Dieter Eberhardt, Eric Sax

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

2024

Towards Scenario Retrieval of Real Driving Data with Large Vision-Language Models.

Tin Stribor Sohn, Maximilian Dillitzer, Lukas Ewecker, Tim Brühl, Robin Schwager, Lena Dalke, Philip Elspas, Frank Oechsle, Eric Sax

Proceedings of the 10th International Conference on Vehicle Technology and Intelligent Transport Systems, 2024

Feature-Based Test Scenario Selection in Automated Driving: Insights from SHAP Values.

Tin Stribor Sohn, Nora Gorhan, Maximilian Dillitzer, Lukas Ewecker, Tim Brühl, Robin Schwager, Ann-Therese Nägele, Eric Sax

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