Preprint
Oct 2026
FPD-Drive: Future Policy Distillation for End-to-End Autonomous Driving
End-to-end autonomous driving models are typically trained on real-world driving logs, which record only the trajectory actually executed in each scene. This provides limited supervision for learning alternative valid behaviors. Multi-target supervision can mitigate this limitation, but broader trajectory coverage make...
Li-Heng Chen, Qifeng Chen, Cheng-Wei Wu et al.
· 1 citation