Concepedia

Direct Visual Slam

Direct Visual SLAM is a visual simultaneous localization and mapping approach that directly utilizes raw pixel intensities to estimate camera motion and reconstruct the environment without relying on explicit feature extraction or matching.

46

Publications

2.9K

Citations

154

Authors

59

Institutions

Publications per year

2017–2026

32

Variants

Direct V-slam

Parents

Publications

46

Visual SLAM: Why filter?

Hauke Strasdat, J. M. M. Montiel, Andrew J. Davison · Image and Vision Computing · 2012 · 415 citations

, , +11

Large-scale direct SLAM for omnidirectional cameras

David R. Caruso, Jakob Engel, Daniel Cremers · 2015 · 239 citations

, , +15

An Overview on Visual SLAM: From Tradition to Semantic

Weifeng Chen, Guangtao Shang, Aihong Ji et al. · Remote Sensing · 2022 · 202 citations · Full text

, , +15

An Efficient Direct Approach to Visual SLAM

Geraldo Silveira, Ezio Malis, Patrick Rives · IEEE Transactions on Robotics · 2008 · 134 citations

, , +16

Direct Sparse Mapping

IEEE Transactions on Robotics · 2020 · 127 citations · Full text

, , +11

1–5 of 46

Authors

154

  1. JC
    Javier Civera

    Universidad de Zaragoza, Spain

    3 publications · 135 citations

    3

    h-index

  2. AK
    Ayoung Kim

    Korea Advanced Institute of Science and Technology, South Korea

    3 publications · 235 citations

    3

    h-index

  3. DC
    Daniel Cremers

    Technical University of Munich, Germany

    3 publications · 291 citations

    3

    h-index

  4. AC
    Alejo Concha

    Universidad de Zaragoza, Spain

    2 publications · 102 citations

    2

    h-index

  5. YS
    Young-Sik Shin

    Korea Advanced Institute of Science and Technology, South Korea

    2 publications · 214 citations

    2

    h-index

1–5 of 154

Institutions

59

  1. Universidad de Zaragoza

    Zaragoza, Spain

    6 h-index

    9 publications

    918 citations

  2. Technical University of Munich

    Munich, Germany

    4 h-index

    7 publications

    165 citations

  3. Korea Advanced Institute of Science and Technology

    Daejeon, South Korea

    3 h-index

    8 publications

    684 citations

  4. University of Oxford

    Oxford, United Kingdom

    3 h-index

    9 publications

    489 citations

  5. Universidad de Navarra

    Pamplona, Spain

    2 h-index

    4 publications

    466 citations

  6. Hangzhou Dianzi University

    Hangzhou, China

    2 h-index

    2 publications

    49 citations

  7. Institut national de recherche en sciences et technologies du numérique

    Le Chesnay-Rocquencourt, France

    2 h-index

    6 publications

    459 citations

  8. Centro de Estudios e Investigaciones Técnicas de Gipuzkoa

    San Sebastian, Spain

    2 h-index

    4 publications

    466 citations

1–8 of 59

Venues

  1. Journal of Intelligent & Robotic Systems

    3 publications · 89 citations

    3

    h-index

  2. IEEE Robotics and Automation Letters

    2 publications · 71 citations

    2

    h-index

  3. Automation in Construction

    2 publications · 72 citations

    2

    h-index

  4. IEEE Transactions on Robotics

    2 publications · 261 citations

    2

    h-index

  5. 1

    h-index

1–5