Concepedia

Rgb-d Visual Odometry

RGB-D Visual Odometry is a visual odometry method that estimates camera motion by fusing color (RGB) and depth (D) information from synchronized image pairs, distinguishing it from monocular or stereo visual odometry approaches through its direct use of dense 3D geometric data.

231

Publications

22.9K

Citations

674

Authors

243

Institutions

Publications per year

2017–2026

139

Parents

Publications

231

ORB-SLAM2: An Open-Source SLAM System for Monocular, Stereo, and RGB-D Cameras

IEEE Transactions on Robotics · 2017 · 6K citations · Full text

, , +17

A benchmark for the evaluation of RGB-D SLAM systems

Jrgen Sturm, Nikolas Engelhard, Felix Endres et al. · 2012 · 3.9K citations

, , +13

A benchmark for RGB-D visual odometry, 3D reconstruction and SLAM

Ankur Handa, Thomas J. Whelan, John McDonald et al. · 2014 · 939 citations

, , +16

Dense visual SLAM for RGB-D cameras

Christian Kerl, Jürgen Sturm, Daniel Cremers · 2013 · 912 citations

, , +17

An evaluation of the RGB-D SLAM system

Felix Endres, Jürgen Hess, Nikolas Engelhard et al. · 2012 · 725 citations

, , +16

1–5 of 231

Authors

674

  1. MK
    Michael Kaess

    Carnegie Mellon University, United States

    7 publications · 607 citations

    7

    h-index

  2. JJ
    John J. Leonard

    Massachusetts Institute of Technology, United States

    6 publications · 523 citations

    6

    h-index

  3. AI
    Andrew I. Comport

    Centre National de la Recherche Scientifique, France

    6 publications · 275 citations

    6

    h-index

  4. DC
    Daniel Cremers

    Technical University of Munich, Germany

    5 publications · 6K citations

    5

    h-index

  5. HZ
    He Zhang

    Nanjing University of Science and Technology, China

    4 publications · 117 citations

    4

    h-index

1–5 of 674

Institutions

243

  1. Technical University of Munich

    Munich, Germany

    11 h-index

    28 publications

    14.5K citations

  2. Massachusetts Institute of Technology

    Cambridge, United States

    9 h-index

    25 publications

    2.5K citations

  3. Carnegie Mellon University

    Pittsburgh, United States

    8 h-index

    17 publications

    1.2K citations

  4. Tsinghua University

    Beijing, China

    6 h-index

    27 publications

    504 citations

  5. Imperial College London

    London, United Kingdom

    6 h-index

    14 publications

    2.6K citations

  6. Universidad de Zaragoza

    Zaragoza, Spain

    6 h-index

    13 publications

    6.5K citations

  7. Centre National de la Recherche Scientifique

    Paris, France

    5 h-index

    11 publications

    625 citations

  8. University of Freiburg

    Freiburg im Breisgau, Germany

    5 h-index

    12 publications

    14.8K citations

1–8 of 243

Venues

  1. Robotics and Autonomous Systems

    8 publications · 839 citations

    8

    h-index

  2. IEEE Sensors Journal

    7 publications · 231 citations

    7

    h-index

  3. IEEE Robotics and Automation Letters

    6 publications · 414 citations

    7

    h-index

  4. 6

    h-index

  5. Sensors

    6 publications · 221 citations

    6

    h-index

1–5