Probabilistic Range Estimation

Probabilistic Range Estimation is a range estimation method that quantifies uncertainty in distance predictions by modeling the output as a probability distribution rather than a deterministic value.

24

Publications

1.7K

Citations

60

Authors

27

Institutions

Publications per year

2017–2026

6

Authors

60

  1. RC
    Reynold Cheng

    University of Hong Kong, Hong Kong SAR China

    2 publications · 478 citations

    2

    h-index

  2. DV
    Dmitri V. Kalashnikov

    University of California, Irvine, United States

    2 publications · 478 citations

    2

    h-index

  3. JA
    J.K. Aggarwal

    The University of Texas at Austin, United States

    2 publications · 137 citations

    2

    h-index

  4. JJ
    Jeffrey J. Rodrı́guez

    University of Arizona, United States

    2 publications · 137 citations

    2

    h-index

  5. MV
    Moritz Vaillant

    Karlsruhe Institute of Technology, Germany

    2 publications · 96 citations

    2

    h-index

1–5 of 60

Venues

  1. Biometrika

    2 publications · 87 citations

    2

    h-index

  2. 1

    h-index

  3. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 1 publications · 438 citations

    1

    h-index

  4. International Journal of Computer Mathematics

    1 publications · 17 citations

    1

    h-index

  5. IEEE Transactions on Vehicular Technology

    1 publications · 40 citations

    1

    h-index

1–5