Learning From Past and Future: A Unified Instantaneous Pedestrian Intent Prediction Framework Based on Privileged Knowledge Distillation for Autonomous Driving
Accurately predicting pedestrian crossing intent is paramount for the safety and reliability of autonomous driving systems in complex urban environments. Despite tremendous progress in the past decade, existing methods often fail to make reliable predictions from instantaneous observations. To address this limitation,...