A pedestrian group crossing intention prediction model integrating spatiotemporal features

A pedestrian group crossing intention prediction model integrating spatiotemporal features

Abstract Pedestrians, as vulnerable road users (VRUs), lack effective protective measures in traffic accidents, making them highly susceptible to injuries. Accurate prediction of pedestrian behavior is crucial for road safety, traffic management systems, advanced driver-assistance systems (ADAS), an...

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Bibliographic Details
Main Authors: Hai Zou, Yongqing Guo, Fulu Wei, Dong Guo, Qingyin Li, Jahongir Pirov
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Pedestrian intention prediction
Pedestrian crossing behavior
Human pose estimation
Pedestrian groups
Spatiotemporal features
Online Access:https://doi.org/10.1038/s41598-025-05128-4
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https://doi.org/10.1038/s41598-025-05128-4

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