Pedestrian Trajectory Prediction in Extremely Crowded Scenarios

Pedestrian trajectory prediction under crowded circumstances is a challenging problem owing to human interaction and the complexity of the trajectory pattern. Various methods have been proposed for solving this problem, ranging from traditional Bayesian analysis to Social Force model and deep learni...

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Detalles Bibliográficos
Autores principales: Shi, Xiaodan, Shao, Xiaowei, Guo, Zhiling, Wu, Guangming, Zhang, Haoran, Shibasaki, Ryosuke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6427292/
https://www.ncbi.nlm.nih.gov/pubmed/30862018
http://dx.doi.org/10.3390/s19051223

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6427292/
https://www.ncbi.nlm.nih.gov/pubmed/30862018
http://dx.doi.org/10.3390/s19051223

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