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Long-horizon planning in autonomous driving just got a major upgrade, with GraphWorld cutting collision rates and boosting performance in complex environments.
GraphBEV++ outperforms five existing baselines in addressing critical misalignment issues, significantly boosting performance in both perception and planning tasks for autonomous vehicles.
Teaching VLMs to "look back" and "look ahead" with lightweight spatial reasoning tasks unlocks surprisingly strong navigation performance.
