Map Optimization

Map Optimization is a computational process in Visual SLAM that refinement of the estimated camera trajectory and 3D structure of the environment by minimizing geometric and photometric reprojection errors within a graph-based or bundle adjustment framework.

275

Publications

22.1K

Citations

891

Authors

322

Institutions

Publications per year

2017–2026

120

Authors

891

  1. WB
    Wolfram Burgard

    University of Freiburg, Germany

    9 publications · 3K citations

    9

    h-index

  2. CS
    Cyrill Stachniss

    University of Bonn, Germany

    8 publications · 752 citations

    8

    h-index

  3. SH
    Shoudong Huang

    University of Technology Sydney, Australia

    7 publications · 284 citations

    7

    h-index

  4. GD
    Gamini Dissanayake

    University of Technology Sydney, Australia

    7 publications · 358 citations

    7

    h-index

  5. GG
    Giorgio Grisetti

    Sapienza University of Rome, Italy

    6 publications · 2.3K citations

    6

    h-index

1–5 of 891

Venues

  1. IEEE Robotics and Automation Letters

    17 publications · 1.2K citations

    15

    h-index

  2. Robotics and Autonomous Systems

    8 publications · 553 citations

    8

    h-index

  3. The International Journal of Robotics Research

    IJRR · 5 publications · 842 citations

    5

    h-index

  4. 2022 International Conference on Robotics and Automation (ICRA)

    Conference · 4 publications · 171 citations

    4

    h-index

  5. ACM Transactions on Graphics

    TOG · 4 publications · 450 citations

    4

    h-index

1–5