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Experimental records in autonomous driving can now be seamlessly integrated with real-time operational conditions, enhancing interpretability and reuse across teams.
LongSpace reveals that integrating explicit spatial memory into MLLMs can dramatically enhance their performance on long-horizon tasks, a critical advancement for applications in autonomous navigation.
