Future Path Prediction

Future Path Prediction is a computational task within trajectory prediction that specifically entails estimating the probable routes or spatial paths of traffic participants over a future time horizon based on historical spatiotemporal data and environmental context.

135

Publications

8.9K

Citations

365

Authors

180

Institutions

Publications per year

2017–2026

59

Authors

365

  1. BS
    Brian Sack

    Federal Reserve Board of Governors, United States

    9 publications · 2.8K citations

    9

    h-index

  2. ET
    Eric T. Swanson

    University of California, Irvine, United States

    6 publications · 2.7K citations

    6

    h-index

  3. RS
    Refet S. Gürkaynak

    Bilkent University, Türkiye

    6 publications · 2.7K citations

    6

    h-index

  4. JL
    Junwei Liang

    Carnegie Mellon University, United States

    5 publications · 727 citations

    5

    h-index

  5. AG
    Alexander G. Hauptmann

    Carnegie Mellon University, United States

    5 publications · 727 citations

    5

    h-index

1–5 of 365

Venues

  1. SSRN Electronic Journal

    Repository · 8 publications · 1.4K citations

    8

    h-index

  2. 5

    h-index

  3. RePEc: Research Papers in Economics

    Repository · 4 publications · 107 citations

    4

    h-index

  4. arXiv (Cornell University)

    Repository · 4 publications · 121 citations

    4

    h-index

  5. Finance and Economics Discussion Series

    FEDS · 3 publications · 1K citations

    3

    h-index

1–5