2 papers
cs.RO2026
PlanWAM: Planning-Shaped Future Representations for End-to-End Autonomous Driving
Jinchang Xu, Hongda Yu, Fengwei Dong +9
World models in end-to-end autonomous driving predict future scene evolution to provide foresight for trajectory planning. Existing methods mainly study how to predict the future a…
cs.LG2026
LIDAR-AD: A Decoder-Free Latent-Interaction Dreamer with Action-Residual Chains for Autonomous Driving
Yongzhi Liu, Yang Xiao, Zhong Cao +5
Autonomous driving requires long-horizon closedloop decision making in dynamic traffic environments. Latent world models offer an effective framework for this problem by enabling i…