Multi-agent Trajectory Prediction
Multi-Agent Trajectory Prediction is a computational task in which the future spatial paths of multiple interacting agents are jointly predicted, distinguished from single-agent approaches by explicitly modeling interdependencies among agents within a shared environment.
118
Publications
7.8K
Citations
413
Authors
133
Institutions
Publications per year
2017–2026
114
118
Multi-Agent Tensor Fusion for Contextual Trajectory Prediction
Tianyang Zhao, Yifei Xu, Mathew Monfort et al. · 2019 · 479 citations
1–5 of 118
413
10
h-index
8
h-index
6
h-index
5
h-index
4
h-index
1–5 of 413
133
University of California, Berkeley
Berkeley, United States
9 h-index
28 publications
1.4K citations
Carnegie Mellon University
Pittsburgh, United States
8 h-index
18 publications
2.6K citations

Peking University
Beijing, China
6 h-index
8 publications
1.2K citations

Shanghai Jiao Tong University
Shanghai, China
5 h-index
20 publications
1.8K citations
Technical University of Munich
Munich, Germany
5 h-index
12 publications
326 citations
Tsinghua University
Beijing, China
4 h-index
6 publications
1.3K citations
Shandong Institute of Business and Technology
Yantai, China
3 h-index
2 publications
110 citations
Tongji University
Shanghai, China
3 h-index
9 publications
686 citations
1–8 of 133
Repository · 20 publications · 873 citations
14
h-index
7 publications · 702 citations
11
h-index
5 publications · 269 citations
6
h-index
3 publications · 503 citations
4
h-index
Conference · 4 publications · 1.1K citations
4
h-index
1–5