Multi-Agent Trajectory Analysis is a trajectory analysis framework that models and predicts the spatiotemporal movements of multiple interacting agents by explicitly accounting for inter-agent dependencies and collective behavioral patterns.
25
Publications
1.4K
Citations
112
Authors
50
Institutions
Publications per year
2017–2026
18
Parents
Publications
25
A remark on collective circular motion of heterogeneous multi-agents
Zhiyong Chen, Haitao Zhang · Automatica · 2013 · 86 citations
1–5 of 25
Authors
112
- LS
2
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- ZC
2
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- SZ
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- PL
2
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- YY
2
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1–5 of 112
Institutions
50
Huazhong University of Science and Technology
Wuhan, China
2 h-index
4 publications
122 citations
Shanghai Jiao Tong University
Shanghai, China
2 h-index
7 publications
317 citations
University of Newcastle Australia
Newcastle, Australia
2 h-index
2 publications
110 citations
Pennsylvania State University
State College, United States
2 h-index
4 publications
617 citations
University of Illinois Chicago
Chicago, United States
2 h-index
4 publications
90 citations
Amazon (United States)
Seattle, United States
1 h-index
1 publications
23 citations
Tsinghua University
Beijing, China
1 h-index
3 publications
69 citations
National Institute of Astrophysics, Optics and Electronics
Puebla City, Mexico
1 h-index
3 publications
57 citations
1–8 of 50
Venues
- Automatica
3 publications · 194 citations
3
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- arXiv (Cornell University)
Repository · 2 publications · 48 citations
2
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- 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
Conference · 2 publications · 596 citations
2
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- IEEE Transactions on Control of Network Systems
1 publications · 12 citations
1
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- Journal of Intelligent & Robotic Systems
1 publications · 16 citations
1
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1–5