Preprint
Aug 2026
PRISM: Privileged Probabilistic Latent Supervision for End-to-End Autonomous Driving Motion Planning
End-to-end autonomous driving (E2E AD) systems integrate perception, prediction, and planning into a single differentiable architecture. While these models show great promise, their standard training often relies on output-only supervision, which can lead to weak gradients for the hidden layers of increasingly complex...
Volodymyr Havrylov, Faris Janjos, Andreas Look et al.
· 0 citations