Sparse Localization

Sparse Localization is a visual localization paradigm that belongs to the class of camera pose estimation methods, distinguished by its reliance on sparse correspondences between 3D map points and 2D image features to determine the camera position and orientation.

45

Publications

3.6K

Citations

138

Authors

62

Institutions

Publications per year

2017–2026

14

Authors

138

  1. JJ
    John J. Leonard

    Massachusetts Institute of Technology, United States

    5 publications · 2K citations

    5

    h-index

  2. AM
    Alexander M. Haimovich

    New Jersey Institute of Technology, United States

    3 publications · 305 citations

    3

    h-index

  3. RM
    Ryan M. Eustice

    University of Michigan, United States

    3 publications · 589 citations

    3

    h-index

  4. AK
    Ali Koochakzadeh

    University of Maryland, College Park, United States

    2 publications · 26 citations

    2

    h-index

  5. LJ
    Laurent Jacques

    UCLouvain, Belgium

    2 publications · 86 citations

    2

    h-index

1–5 of 138

Venues

  1. The International Journal of Robotics Research

    IJRR · 2 publications · 1.5K citations

    2

    h-index

  2. IEEE Access

    2 publications · 65 citations

    2

    h-index

  3. IEEE Transactions on Robotics

    2 publications · 371 citations

    2

    h-index

  4. IEEE Robotics and Automation Letters

    1 publications · 146 citations

    1

    h-index

  5. Signal Processing

    1 publications · 44 citations

    1

    h-index

1–5