A naturalistic trajectory dataset with dense interaction for autonomous driving
Abstract Driving interaction, a critical yet underrepresented element in trajectory datasets, is central to the development and evaluation of autonomous driving systems. This work presents InterHub, a curated dataset of dense multi-agent interaction events, derived from large-scale naturalistic driv...
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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 Data |
| Online Access: | https://doi.org/10.1038/s41597-025-05344-7 |
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