GeoWAM: Visual Geometry World Action Models for Autonomous Driving
Geometry is established as an effective state representation for autonomous driving and geometry pretraining as a general, scalable strategy for downstream planning.
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Geometry is established as an effective state representation for autonomous driving and geometry pretraining as a general, scalable strategy for downstream planning.
The results demonstrate that AI-driven testing can maintain stability while eliminating the brittleness of traditional automated tests, enabling continuous quality assurance at scale.
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