Scale Estimation

Scale Estimation is a computational process in visual SLAM that belongs to the class of metric refinement methods, distinguished by its role in recovering the absolute scale of the reconstructed trajectory and environment from inherently scale-ambiguous visual observations.

310

Publications

23.2K

Citations

834

Authors

373

Institutions

Publications per year

2017–2026

132

Authors

834

  1. DS
    Davide Scaramuzza

    University of Zurich, Switzerland

    5 publications · 513 citations

    5

    h-index

  2. MY
    Ming–Hsuan Yang

    University of California, Merced, United States

    4 publications · 1.5K citations

    4

    h-index

  3. CM
    Chao Ma

    Shanghai Jiao Tong University, China

    4 publications · 1.3K citations

    4

    h-index

  4. XY
    Xiaokang Yang

    Shanghai Jiao Tong University, China

    4 publications · 1.3K citations

    4

    h-index

  5. PM
    Peter Meer

    Rutgers, The State University of New Jersey, United States

    3 publications · 508 citations

    3

    h-index

1–5 of 834

Venues

  1. Sensors

    7 publications · 163 citations

    7

    h-index

  2. 7

    h-index

  3. 7

    h-index

  4. arXiv (Cornell University)

    Repository · 6 publications · 110 citations

    6

    h-index

  5. Remote Sensing

    5 publications · 189 citations

    5

    h-index

1–5