Q‐EANet: Implicit social modeling for trajectory prediction via experience‐anchored queries
Abstract Accurately predicting the future trajectory and behavior of traffic participants is crucial for the maneuvers of self‐driving vehicles. Many existing works employed a learning‐based “encoder‐interactor‐decoder” structure, but they often fail to clearly articulate the relationship between mo...
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| Główni autorzy: | , , , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
Wiley
2024-06-01
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| Seria: | IET Intelligent Transport Systems |
| Hasła przedmiotowe: | |
| Dostęp online: | https://doi.org/10.1049/itr2.12477 |
| Etykiety: |
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