1 citations · 1 across the 5 of their papers we have counts for
7 papers
Speed in the Blind Spot: An Interpretability Analysis of Dynamic Perception in VLMs for Autonomous Driving
Katharina Winter, Stefan Englmeier, Fabian B. Flohr
Vision-Language Models are increasingly used in autonomous-driving systems, yet their ability to recover dynamic physical state from visual input remains insufficiently characteriz…
"Dear LLaVA, Please Drive": A Depth-Aware Vision-Language Agent for Closed-Loop Robotic Control
Sebastian Berger, Katharina Winter, Fabian B. Flohr
Vision-language models (VLMs) provide a compelling foundation for reasoning-driven mobile navigation, offering rich contextual understanding and strong generalization from large-sc…
WorldVLM: Combining World Model Forecasting and Vision-Language Reasoning
Stefan Englmeier, Katharina Winter, Fabian B. Flohr
Autonomous driving systems depend on on models that can reason about high-level scene contexts and accurately predict the dynamics of their surrounding environment. Vision- Languag…
Context-based Motion Retrieval using Open Vocabulary Methods for Autonomous Driving
Stefan Englmeier, Max A. Büttner, Katharina Winter +1
Autonomous driving systems must operate reliably in safety-critical scenarios, particularly those involving unusual or complex behavior by Vulnerable Road Users (VRUs). Identifying…
BEV-LLM: Leveraging Multimodal BEV Maps for Scene Captioning in Autonomous Driving
Felix Brandstaetter, Erik Schuetz, Katharina Winter +1
Autonomous driving technology has the potential to transform transportation, but its wide adoption depends on the development of interpretable and transparent decision-making syste…
Generative AI for Autonomous Driving: A Review
Katharina Winter, Abhishek Vivekanandan, Rupert Polley +17
Generative AI (GenAI) is rapidly advancing the field of Autonomous Driving (AD), extending beyond traditional applications in text, image, and video generation. We explore how gene…
BEVDriver: Leveraging BEV Maps in LLMs for Robust Closed-Loop Driving
Katharina Winter, Mark Azer, Fabian B. Flohr
Autonomous driving has the potential to set the stage for more efficient future mobility, requiring the research domain to establish trust through safe, reliable and transparent dr…