Dynamic-group-aware networks for multi-agent trajectory prediction with relational reasoning.

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作者： Chenxin,Xu ^[1] ; Yuxi,Wei ^[2] ; Bohan,Tang ^[3] ; Sheng,Yin ^[4] ; Ya,Zhang ^[5] ; Siheng,Chen ^[6] ; Yanfeng,Wang ^[7]

作者单位： Cooperative Medianet Innovation Center, Shanghai Jiao Tong University, Shanghai, China. Electronic address: xcxwakaka@sjtu.edu.cn. ^[1] Cooperative Medianet Innovation Center, Shanghai Jiao Tong University, Shanghai, China. Electronic address: wyx35902367@sjtu.edu.cn. ^[2] Oxford-Man Institute and the Department of Engineering Science, University of Oxford, Oxford, UK. Electronic address: bohan.tang@eng.ox.ac.uk. ^[3] Cooperative Medianet Innovation Center, Shanghai Jiao Tong University, Shanghai, China. Electronic address: Yin.sheng011@sjtu.edu.cn. ^[4] Cooperative Medianet Innovation Center, Shanghai Jiao Tong University, Shanghai, China; Shanghai AI Laboratory, Shanghai, China. Electronic address: ya_zhang@sjtu.edu.cn. ^[5] Cooperative Medianet Innovation Center, Shanghai Jiao Tong University, Shanghai, China; Shanghai AI Laboratory, Shanghai, China. Electronic address: sihengc@sjtu.edu.cn. ^[6] Cooperative Medianet Innovation Center, Shanghai Jiao Tong University, Shanghai, China; Shanghai AI Laboratory, Shanghai, China. Electronic address: wangyanfeng@sjtu.edu.cn. ^[7]

关键词 Dynamic multiscale hypergraph Interaction modeling Multi-agent trajectory prediction Relational reasoning

主题词问题解决(Problem Solving);学习(Learning);正态分布(Normal Distribution)

DOI 10.1016/j.neunet.2023.11.005

PMID 38056406

发布时间 2024-01-22

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准确一般字义偏差语意偏离译文作用小提交