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Autonomous driving world models can now predict distinct, intent-driven futures by conditioning 3D geometry evolution on explicit driving semantics and ego-motion.
Static infrastructure dominates occupancy perception, occupying 97.3% of voxels, while dynamic elements barely register, challenging existing benchmarks and methods.
