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End-to-end driving can achieve substantially improved trajectory feasibility by shifting the diffusion process to directly model feasible trajectories, rather than focusing on noise.
Unlock richer autonomous driving models with IEDD, a new dataset of million-level interactive driving segments with strictly aligned language and action.
