Author

Yu-Hang Wang

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Preprint Sep 2026

Observe Before You Alert: Adaptive Driver Alerting with Vision-Language Models

Driver alerting from dashcam video requires sequential decision-making under partial observability: a system must decide not only whether a scene is risky, but also when the evidence is sufficient to warn. Most existing accident anticipation models output a binary risk score, leaving ambiguous scenes to be handled by t...

Yu-Hang Wang, Ling-Yao Li, Hao Zhou · 0 citations

#computer vision Preprint Sep 2026

DriveMotion: A Large-Scale Multi-Source Benchmark for Driver Motion Sequence Modeling and Forecasting

DriveMotion is introduced, a multi-source benchmark for continuous driver motion forecasting, integrating naturalistic driving data, curated public in-cabin videos, and the AIDE dataset into a unified representation with per-joint validity masks and synchronized driving context.

Yu-Hang Wang, Chu-Heng Wei, Jing-Xin Yang et al. · 1 citation

Open access Aug 2026

Trajectory Prediction-Aided Deep Reinforcement Learning for Autonomous Vehicle Decision-Making at Unsignalized Intersections

The proposed framework improves the safety and crossing efficiency of autonomous vehicle decision-making at unsignalized intersections and introduces a composite prioritized replay mechanism into the Twin Delayed Deep Deterministic Policy Gradient algorithm.

Shufeng Wang, Yu-Hang Wang, Yongxin Lei et al. · Machines · 0 citations