Traffic incidents involving vulnerable road users (VRUs) constitute a significant proportion of
global road accidents. Advances in traffic communication ecosystems, coupled with …

Predicting pedestrian behavior is the key to ensure safety and reliability of autonomous
vehicles. While deep learning methods have been promising by learning from annotated …

Existing pedestrian behavior prediction methods rely primarily on deep neural networks that
utilize features extracted from video frame sequences. Although these vision-based models …