2025
BEVDriver: Leveraging BEV Maps in LLMs for Robust Closed-Loop Driving
IROS 2025
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 driving. Large Language Models (LLMs) possess reasoning capabilities and natural language understanding, presenting the po