25 citations · 47 across the 2 of their papers we have counts for
2 papers
cs.CV2021★ 22 cited
Social-IWSTCNN: A Social Interaction-Weighted Spatio-Temporal Convolutional Neural Network for Pedestrian Trajectory Prediction in Urban Traffic Scenarios
Chi Zhang, Christian Berger, Marco Dozza
Pedestrian trajectory prediction in urban scenarios is essential for automated driving. This task is challenging because the behavior of pedestrians is influenced by both their own…
stat.AP2020★ 25 cited
Multitasking additional-to-driving: Prevalence, structure, and associated risk in SHRP2 naturalistic driving data
András Bálint, Carol A. C. Flannagan, Andrew Leslie +3
This paper 1) analyzes the extent to which drivers engage in multitasking additional-to-driving (MAD) under various conditions, 2) specifies odds ratios (ORs) of crashing associate…