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...
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Détails bibliographiques
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 45(2023), 1 vom: 01. Jan., Seite 1070-1086
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| Auteur principal: |
Wang, Dafeng
(Auteur) |
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| Autres auteurs: |
Liu, Hongbo,
Wang, Naiyao,
Wang, Yiyang,
Wang, Hua,
McLoone, Sean |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2023
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| Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence
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| Sujets: | Journal Article |
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