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Driving models can achieve near-perfect performance with just one denoising step by learning to predict visual motion directly, outperforming multi-step prediction models and achieving 3.29x inference speed.
Event streams can dramatically enhance driving intelligence by improving temporal precision and motion awareness, outperforming traditional frame-based perception methods.