Keyframe-based Mapping

Keyframe-Based Mapping is a visual simultaneous localization and mapping methodology that constructs and maintains a sparse map of the environment by selectively retaining keyframe images based on criterion-driven sampling, thereby reducing computational redundancy while preserving critical spatial and observational information.

54

Publications

3.9K

Citations

167

Authors

61

Institutions

Publications per year

2017–2026

29

Authors

167

  1. JM
    J. M. M. Montiel

    Universidad de Zaragoza, Spain

    3 publications · 800 citations

    3

    h-index

  2. PS
    Patrik Schmuck

    ETH Zurich, Switzerland

    2 publications · 195 citations

    2

    h-index

  3. HB
    Horst Bischof

    Graz University of Technology, Austria

    2 publications · 71 citations

    2

    h-index

  4. RO
    Robert O. Castle

    United States Geological Survey, United States

    2 publications · 45 citations

    2

    h-index

  5. DW
    David W. Murray

    University of Oxford, United Kingdom

    2 publications · 542 citations

    2

    h-index

1–5 of 167

Venues

  1. IEEE Robotics and Automation Letters

    3 publications · 301 citations

    3

    h-index

  2. 2

    h-index

  3. Machine Vision and Applications

    2 publications · 69 citations

    2

    h-index

  4. IEEE/ASME Transactions on Mechatronics

    2 publications · 56 citations

    2

    h-index

  5. IEEE Control Systems

    1 publications · 29 citations

    1

    h-index

1–5