Mark Azer

BEVDriver: Leveraging BEV Maps in LLMs for Robust Closed-Loop Driving

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