SEEM : A Sequence Entropy Energy-Based Model for Pedestrian Trajectory All-Then-One Prediction
Predicting the future trajectories of pedestrians is of increasing importance for many applications such as autonomous driving and social robots. Nevertheless, current trajectory prediction models suffer from limitations such as lack of diversity in candidate trajectories, poor accuracy, and instabi...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 45(2023), 1 vom: 01. Jan., Seite 1070-1086
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| 1. Verfasser: |
Wang, Dafeng
(VerfasserIn) |
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| Weitere Verfasser: |
Liu, Hongbo,
Wang, Naiyao,
Wang, Yiyang,
Wang, Hua,
McLoone, Sean |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2023
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
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| Schlagworte: | Journal Article |
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