Indirect Visual Slam

Indirect Visual SLAM is a category of visual simultaneous localization and mapping approach that estimates camera motion and reconstructs the environment by extracting and tracking sparse image features rather than directly using raw pixel intensities.

8

Publications

426

Citations

28

Authors

14

Institutions

Publications per year

2017–2026

8

Authors

28

  1. YT
    Yulin Tao

    Fudan University, China

    1 publications · 23 citations

    1

    h-index

  2. GS
    Guangtao Shang

    Quanzhou Normal University, China

    1 publications · 202 citations

    1

    h-index

  3. XR
    Xiaogang Ruan

    Beijing University of Technology, China

    1 publications · 31 citations

    1

    h-index

  4. ZM
    Zhixiang Min

    Stevens Institute of Technology, United States

    1 publications · 18 citations

    1

    h-index

  5. RC
    Ruping Cen

    Chongqing University, China

    1 publications · 23 citations

    1

    h-index

1–5 of 28

Venues

  1. IEEE Transactions on Image Processing

    1 publications · 49 citations

    1

    h-index

  2. 1

    h-index

  3. IEEE Access

    1 publications · 54 citations

    1

    h-index

  4. IEEE Sensors Journal

    1 publications · 11 citations

    1

    h-index

  5. Remote Sensing

    1 publications · 202 citations

    1

    h-index

1–5