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Author

Inhi Kim

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Open access Oct 2026

Self-supervised 3D point cloud prediction for moving objects based on deep correlation information

In autonomous driving, the continuous movement of objects exacerbates point cloud sparsity, making future frame prediction a challenging task. While self-supervised methods excel in such dynamic environments by learning temporal evolution directly from unannotated data, existing approaches often model spatial struc...

Kai Gao, Yu-Xiang Zhou, Ping-Ping Dong 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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