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Finding needles in the haystack of autonomous driving data is harder than we thought: even with fine-tuning, current retrieval methods struggle to identify rare, safety-critical scenarios in the new SearchAD dataset.
Autonomous driving gets a boost with LAD-Drive, a new method that uses probabilistic meta-actions and diffusion to generate safer, more nuanced trajectories, outperforming existing methods by a significant margin.
