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Human trajectory logs are no longer the performance ceiling for autonomous driving: closed-loop reinforcement learning paired with distilled foundation models outperforms human demonstration baselines across major open and closed-loop benchmarks.
Event cameras can now track 6D object poses at high speeds without learning, rivaling or exceeding RGB-D methods in dynamic environments.
