Lost in Fog: Sensor Perturbations Expose Reasoning Fragility in Driving VLAs 事件
PRODUCT_LAUNCH2026-06-04影响: MEDIUM
Lost in Fog: Sensor Perturbations Expose Reasoning Fragility in Driving VLAs arXiv:2605.21446v2 Announce Type: replace-cross Abstract: Interpretable autonomous driving planners depend not only on generating explanations, but also on those explanations remaining reliable under real-world sensor degradation. In this paper we present a controlled perturbation study of Vision-Language-Action (VLA) robustness in autonomous driving, evaluating Alpamayo R1 (10B parameters) across 1,996 scenarios under
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Lost in Fog: Sensor Perturbations Expose Reasoning Fragility in Driving VLAs
ArXiv CS.AI2026-06-04