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Kitae Jang

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#artificial intelligence Preprint Sep 2026

SSP-DMGTimeNet: Physics-Constrained Learning for Spatiotemporal Trajectory Prediction of Vehicle Platoons

SSP-DMGTimeNet, a physics-constrained learning framework for spatiotemporal trajectory prediction of vehicle platoons, combines multi-scale temporal representations with cross-vehicle interaction features to capture complex and time-varying platoon dynamics.

Yu-Hang Wang, Kai-Lang Ma, Zi-Rui Li et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Rethinking World Models for Safety-Critical Embodied Systems

It is argued that future world models should move beyond predicting likely futures toward identifying which futures matter, revising judgments through experience, and recognizing when to act, revise, sense, defer, or abstain.

Kai-Lang Ma, Heyang Huang, Inhi Kim et al. · 0 citations

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