2 papers
cs.AI2026
PLAN-S: Bridging Planning with Latent Style Dynamics for Autonomous Driving World Models
Xiaoyun Qiu, Jingtao He, Yijie Chen +4
Latent world models (LWMs) have strengthened end-to-end autonomous driving by forecasting compact scene dynamics for downstream planning. However, existing LWM-based planners usual…
cs.CV2026
Does Visual Information Play a Decisive Role in Vision-Language-Action Model Driving Behavior?
Jingtao He, Hongliang Lu, Xiaoyun Qiu +2
Vision-Language-Action (VLA) models have demonstrated promising capability in autonomous driving, highlighting the potential of unified multimodal architectures for jointly modelin…