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

Authors

58

  1. TT
    Theodore Tsesmelis

    Italian Institute of Technology, Italy

    2 publications · 153 citations

    2

    h-index

  2. FS
    Francesco Setti

    University of Verona, Italy

    2 publications · 153 citations

    2

    h-index

  3. MC
    Marco Cristani

    University of Verona, Italy

    2 publications · 153 citations

    2

    h-index

  4. AD
    Alessio Del Bue

    Italian Institute of Technology, Italy

    2 publications · 153 citations

    2

    h-index

  5. FG
    Fabio Galasso

    Sapienza University of Rome, Italy

    2 publications · 153 citations

    2

    h-index

1–5 of 58

Venues

  1. The Journal of Engineering

    JoE · 2 publications · 55 citations

    2

    h-index

  2. 1

    h-index

  3. 1

    h-index

  4. Lecture notes in computer science

    LNCS · Book series · 1 publications · 43 citations

    1

    h-index

  5. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 1 publications · 39 citations

    1

    h-index

1–5