3 papers
cs.AI2026
SSP-DMGTimeNet: Physics-Constrained Learning for Spatiotemporal Trajectory Prediction of Vehicle Platoons
Yuhang Wang, Kailang Ma, Zirui Li +4
Existing car-following prediction methods mainly optimize trajectory accuracy, while rarely considering whether predicted disturbances propagate realistically along a vehicle plato…
cs.AI2026
Rethinking World Models for Safety-Critical Embodied Systems
Kailang Ma, Heye Huang, Inhi Kim +1
World models have progressed from compact latent dynamics to generative, controllable, and interactive simulators of embodied environments. However, high predictive likelihood and…
cs.LG2026
A knowledge-augmented dataset of high-risk driving scenarios with LLM annotations for autonomous driving
Heye Huang, Jingguang Li, Zhiyuan Zhou +4
Safe autonomous driving requires both rapid responses to common high-risk events and deeper reasoning over rare, extreme long-tail scenarios in traffic safety. These scenarios are…