MDST-DGCN: A Multilevel Dynamic Spatiotemporal Directed Graph Convolutional Network for Pedestrian Trajectory Prediction

Pedestrian trajectory prediction is an essential but challenging task. Social interactions between pedestrians have an immense impact on trajectories. A better way to model social interactions generally achieves a more accurate trajectory prediction. To comprehensively model the interactions between...

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Detalles Bibliográficos
Autores principales: Liu, Shaohua, Liu, Haibo, Wang, Yisu, Sun, Jingkai, Mao, Tianlu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9019418/
https://www.ncbi.nlm.nih.gov/pubmed/35463224
http://dx.doi.org/10.1155/2022/4192367

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9019418/
https://www.ncbi.nlm.nih.gov/pubmed/35463224
http://dx.doi.org/10.1155/2022/4192367

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