Scene-aware Prediction

Scene-Aware Prediction is a predictive modeling approach that integrates contextual environmental information, such as static infrastructure and dynamic interactions among entities, to enhance the accuracy and realism of future state forecasts for traffic participants within a given traffic scenario.

51

Publications

3.3K

Citations

192

Authors

70

Institutions

Publications per year

2017–2026

40

Authors

192

  1. FK
    Franz Kümmert

    Bielefeld University, Germany

    4 publications · 105 citations

    4

    h-index

  2. MO
    M. Ortíz

    California Institute of Technology, United States

    3 publications · 82 citations

    3

    h-index

  3. JS
    Jens Schmüdderich

    Honda (Germany), Germany

    3 publications · 55 citations

    3

    h-index

  4. MC
    Manmohan Chandraker

    University of California San Diego, United States

    3 publications · 1.2K citations

    3

    h-index

  5. HX
    Huaxin Xiao

    National University of Defense Technology, China

    2 publications · 89 citations

    2

    h-index

1–5 of 192

Venues

  1. arXiv (Cornell University)

    Repository · 9 publications · 323 citations

    9

    h-index

  2. IEEE Robotics and Automation Letters

    4 publications · 247 citations

    4

    h-index

  3. IET Intelligent Transport Systems

    2 publications · 44 citations

    2

    h-index

  4. IEEE Transactions on Multimedia

    2 publications · 59 citations

    2

    h-index

  5. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 1 publications · 25 citations

    1

    h-index

1–5