AD-E2E-JEPA: A Joint-Embedding Predictive Architecture For End-to-End Autonomous Driving.

arXiv:2609.34085v1 Announce Type: cross Abstract: Autonomous driving requires \textit{world models} that can understand the physical world, reason and plan, and operate safely. In this paper, we first systematically evaluate existing action-conditioned joint-e