Social Pooling
Social Pooling is a computational mechanism in trajectory prediction models that aggregates local environmental features of traffic participants by selectively weighting interactions based on spatial proximity and dynamic behavior, thereby encoding social context into motion forecasts.
16
Publications
945
Citations
58
Authors
28
Institutions
Publications per year
2017–2026
14
16
Non-local Social Pooling for Vehicle Trajectory Prediction
Kaouther Messaoud, Itheri Yahiaoui, Anne Verroust-Blondet et al. · 2019 · 141 citations · Full text
1–5 of 16
58
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1–5 of 58
28
University of Verona
Verona, Italy
2 h-index
4 publications
306 citations

Italian Institute of Technology
Genoa, Italy
2 h-index
4 publications
306 citations
OSRAM (United Kingdom)
St Helens, United Kingdom
2 h-index
4 publications
306 citations

National University of Defense Technology
Changsha, China
2 h-index
5 publications
207 citations

Johannes Kepler University of Linz
Linz, Austria
1 h-index
2 publications
28 citations
Toyota Industries (United States)
Dallas, United States
1 h-index
2 publications
86 citations
Chalmers University of Technology
Gothenburg, Sweden
1 h-index
1 publications
22 citations
Shenzhen Academy of Aerospace Technology
Shenzhen, China
1 h-index
2 publications
26 citations
1–8 of 28
JoE · 2 publications · 55 citations
2
h-index
1 publications · 24 citations
1
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1 publications · 232 citations
1
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LNCS · Book series · 1 publications · 43 citations
1
h-index
Conference · 1 publications · 39 citations
1
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1–5