Wenzhan Li

Dual-Alignment Domain Adaptation for Pedestrian Trajectory Prediction

Predicting the plausible future paths of pedestrians is essential for human-involved applications (e.g., autonomous driving and service robotics). Existing pedestrian trajectory prediction methods mainly focus on the performance of multi-scene trained models in single-scene tests, neglecting the cro