decoder-free

LIDAR-AD proposes a decoder-free latent-interaction world model for autonomous driving that uses redundancy-reduced latent alignment and residual action updates to improve risk-aware state abstraction and long-horizon dynamics prediction, outperforming baseline world models in simulated and real-world scenarios.