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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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
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| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-05128-4 |
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