3 papers
cs.CV2026
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…
cs.CV2026
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…
cs.CV2025
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…