Preprint
Aug 2026
DriveVLA-M0: Failure-Aware Memory Augmentation for Autonomous Driving
A latent memory pool is constructed that stores failure cases along with their structure scene representations and expert trajectory labels, and a dedicated Retrieve Model that decouples static road structure and dynamic agent interactions to enable structurally grounded retrieval is designed.
Zebin Xing, Yupeng Zheng, Qiangyu Chen et al.
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