SafeDriveVLA: Navigation-Conditioned World Model Dreaming for Conflict-Aware End-to-End Autonomous Driving

Summary

SafeDriveVLA is a driving model that predicts a three-level navigation-compliance mode, separating conflict reasoning from action generation, and uses navigation-conditioned world model dreaming to inform that prediction. The authors evaluate navigation following, conflict awareness and adversarial robustness on Bench2Drive, where it reaches 88.16 Driving Score and 68.64% Success Rate. Compared with the best SimLingo variant, it lifts closed-loop language following by 49.3% and cuts collisions under unsafe instructions from 60 to 38.

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