AI RESEARCH
DriveLaW:Unifying Planning and Video Generation in a Latent Driving World
arXiv CS.CV
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ArXi:2512.23421v3 Announce Type: replace World models have become crucial for autonomous driving, as they learn how scenarios evolve over time to address the long-tail challenges of the real world. However, current approaches relegate world models to limited roles: they operate within ostensibly unified architectures that still keep world prediction and motion planning as decoupled processes. To bridge this gap, we propose DriveLaW, a novel paradigm that unifies video generation and motion planning.