Cross or Wait? Predicting Pedestrian Interaction Outcomes at Unsignalized Crossings

arXiv:2304.08260v2 Announce Type: replace
Abstract: Predicting pedestrian behavior when interacting with vehicles is one of the most critical challenges in the field of automated driving. Pedestrian crossing behavior is influenced by various interaction factors, including time to arrival, pedestrian waiting time, the presence of zebra crossing, and the properties and personality traits of both pedestrians and drivers. However, these factors have not been fully explored for use in predicting interaction outcomes. In this paper, we use machine learning to predict …

abstract arxiv automated behavior challenges cs.ai cs.lg driving pedestrian type vehicles waiting