HEAT: Heterogeneous End-to-End Autonomous Driving via Trajectory-Guided World Models
HEAT proposes a trajectory-driven learning framework for training end-to-end autonomous driving models across heterogeneous domains. Using a world model pretrained on …
Hoonhee Cho*