Drive My Way: Preference Alignment of Vision-Language-Action Model for Personalized Driving

ArXi:2603.25740v1 Announce Type: cross Human driving behavior is inherently personal, which is shaped by long-term habits and influenced by short-term intentions. Individuals differ in how they accelerate, brake, merge, yield, and overtake across diverse situations. However, existing end-to-end autonomous driving systems either optimize for generic objectives or rely on fixed driving modes, lacking the ability to adapt to individual preferences or interpret natural language intent.