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BEVDriver: Leveraging BEV Maps in LLMs for Robust Closed-Loop Driving
SatMap: Revisiting Satellite Maps as Prior for Online HD Map Construction
Autonomous Driving
BEV-LLM: Leveraging Multimodal BEV Maps for Scene Captioning in Autonomous Driving
bikeActions: Action Classification Dataset for Behavior Understanding of Vulnerable Road Users
Contact
ContextMotionCLIP
DeepUrban: Benchmark for Trajectory Prediction and Planning
Downloads
Pipeline
Project ADRIVE-GPT
Projekt nxtAIM – NXT GEN AI METHODS
Publications
- HABIT: Human Action Benchmark for Interactive Traffic in CARLA
- Walk-the-Talk: LLM driven pedestrian motion generation
STADT:up
Student Topics
Teaching
The Intelligent Vehicles Lab
The IVL Team
WorldVLM

WorldVLM

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Intelligent Vehicles Lab
Prof. Dr. Fabian Flohr (Lab Lead)
Hochschule München University of Applied Sciences
Room E304
Lothstr. 34
80335 München

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