Summary
Human driving behavior is inherently personalized, shaped by individual habits and short-term intentions, leading to variations in actions like accelerating or braking. Existing autonomous driving systems, however, lack the ability to adapt to these individual preferences or interpret natural language intent. The 'Drive My Way' paper proposes a new vision-language-action model to address this gap, aiming to align autonomous vehicles with personalized driving styles.
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