AI RESEARCH
AutoDrive-R$^2$: Incentivizing Reasoning and Self-Reflection Capacity for VLA Model in Autonomous Driving
arXiv CS.CV
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ArXi:2509.01944v3 Announce Type: replace-cross Vision-Language-Action (VLA) models in autonomous driving systems have recently nstrated transformative potential by integrating multimodal perception with decision-making capabilities. However, the interpretability and coherence of the decision process and the plausibility of action sequences remain largely underexplored.