Yi-Xuan Deng

Real-Time Pedestrian Crossing Intent Prediction and Risk Assessment Framework Using Skeleton Graph Convolutional Networks

Pedestrian safety at urban intersections remains a major challenge in Intelligent Transportation Systems (ITSs). This study investigates whether crossing intention can be reliably inferred directly from temporal body-pose dynamics to drive real-time collision warnings on embedded edge platforms. Existing vision-based a...