Depth-based Localization

Depth-Based Localization is a robot localization method that determines a robot's position and orientation in an environment by leveraging depth information from sensors such as RGB-D cameras or LiDAR to construct and match 3D spatial representations.

119

Publications

7.4K

Citations

409

Authors

184

Institutions

Publications per year

2017–2026

54

Authors

409

  1. JM
    J. M. M. Montiel

    Universidad de Zaragoza, Spain

    2 publications · 1.1K citations

    2

    h-index

  2. MA
    Mohammad A. Jaradat

    Jordan University of Science and Technology, Jordan

    2 publications · 77 citations

    2

    h-index

  3. JZ
    Jie Zhou

    Tsinghua University, China

    2 publications · 306 citations

    2

    h-index

  4. JC
    Javier Civera

    Universidad de Zaragoza, Spain

    2 publications · 1.1K citations

    2

    h-index

  5. CH
    Carsten H. Wolters

    University of Münster, Germany

    2 publications · 188 citations

    2

    h-index

1–5 of 409

Venues

  1. Sensors

    6 publications · 194 citations

    6

    h-index

  2. arXiv (Cornell University)

    Repository · 5 publications · 149 citations

    5

    h-index

  3. IEEE Access

    3 publications · 127 citations

    3

    h-index

  4. IEEE Robotics and Automation Letters

    3 publications · 114 citations

    3

    h-index

  5. Optics Express

    2 publications · 41 citations

    2

    h-index

1–5