Monocular Visual Slam

Monocular Visual SLAM is a visual simultaneous localization and mapping framework that estimates a camera’s trajectory and reconstructs the three-dimensional environment using imagery from a single moving camera, distinguished from other visual SLAM approaches by relying solely on monocular input without additional sensors or prior depth information.

219

Publications

14.2K

Citations

638

Authors

213

Institutions

Publications per year

2017–2026

114

Variants

Monocular V-slam

Authors

638

  1. IR
    Ian Reid

    The University of Adelaide, Australia

    9 publications · 1.1K citations

    9

    h-index

  2. JM
    J. M. M. Montiel

    Universidad de Zaragoza, Spain

    8 publications · 1.2K citations

    8

    h-index

  3. DC
    Daniel Cremers

    Technical University of Munich, Germany

    7 publications · 1K citations

    7

    h-index

  4. AJ
    Andrew J. Davison

    Imperial College London, United Kingdom

    6 publications · 558 citations

    6

    h-index

  5. JD
    Juan D. Tardós

    Universidad de Zaragoza, Spain

    6 publications · 1.5K citations

    6

    h-index

1–5 of 638

Venues

  1. Sensors

    13 publications · 398 citations

    13

    h-index

  2. arXiv (Cornell University)

    Repository · 9 publications · 640 citations

    9

    h-index

  3. Robotics and Autonomous Systems

    7 publications · 938 citations

    7

    h-index

  4. Journal of Intelligent & Robotic Systems

    7 publications · 454 citations

    6

    h-index

  5. IEEE Transactions on Robotics

    5 publications · 653 citations

    5

    h-index

1–5