Semi-direct Visual Odometry

Semi-Direct Visual Odometry is a visual odometry method that belongs to the class of hybrid approaches combining direct and indirect techniques, distinguished by its use of direct image alignment on a sparse set of high-gradient pixels while relying on indirect methods for feature tracking and geometric estimation.

27

Publications

4.3K

Citations

72

Authors

29

Institutions

Publications per year

2017–2026

19

Variants

Svo

Authors

72

  1. DC
    Daniel Cremers

    Technical University of Munich, Germany

    4 publications · 497 citations

    4

    h-index

  2. NY
    Nan Yang

    Technical University of Munich, Germany

    2 publications · 119 citations

    2

    h-index

  3. JE
    Jakob Engel

    Technical University of Munich, Germany

    2 publications · 378 citations

    2

    h-index

  4. MP
    Marc Pollefeys

    ETH Zurich, Switzerland

    2 publications · 102 citations

    2

    h-index

  5. RW
    Rui Wang

    Technical University of Munich, Germany

    2 publications · 119 citations

    2

    h-index

1–5 of 72

Venues

  1. IEEE Transactions on Robotics

    2 publications · 988 citations

    2

    h-index

  2. IEEE Robotics and Automation Letters

    2 publications · 120 citations

    2

    h-index

  3. 1

    h-index

  4. The International Journal of Robotics Research

    IJRR · 1 publications · 19 citations

    1

    h-index

  5. arXiv (Cornell University)

    Repository · 1 publications · 12 citations

    1

    h-index

1–5