Driver-WM rolls out in-cabin driver states in a compact latent space from frozen vision-language features, using traffic-conditioned dual streams and gated causal injection for long-horizon geometric and semantic forecasting.
In: Proceedings of the 40th International Conference on Machine Learning
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Driver-WM: A Driver-Centric Traffic-Conditioned Latent World Model for In-Cabin Dynamics Rollout
Driver-WM rolls out in-cabin driver states in a compact latent space from frozen vision-language features, using traffic-conditioned dual streams and gated causal injection for long-horizon geometric and semantic forecasting.