PLAN-S: Bridging Planning with Latent Style Dynamics for Autonomous Driving World Models

Latent world models (LWMs) have strengthened end-to-end autonomous driving by forecasting compact scene dynamics for downstream planning. However, existing LWM-based planners usually generate trajectories directly from entangled latent representations. This compact latent-to-planner pathway lacks ex...