Simultaneous Localization

Simultaneous Localization is a robotics localization paradigm in which an autonomous system continuously estimates its own pose within a global or local reference frame while concurrently and coherently integrating co-acquired sensor information—typically used for on-line mapping or environment modeling—so that the robot and environment states are inferred in a coupled, real-time fashion.

2.5K

Publications

179.1K

Citations

6.1K

Authors

1.3K

Institutions

Publications per year

2017–2026

1.2K

Authors

6.1K

  1. JJ
    John J. Leonard

    Massachusetts Institute of Technology, United States

    33 publications · 8.3K citations

    26

    h-index

  2. WB
    Wolfram Burgard

    University of Freiburg, Germany

    37 publications · 10.2K citations

    26

    h-index

  3. GD
    Gamini Dissanayake

    University of Technology Sydney, Australia

    36 publications · 2.4K citations

    24

    h-index

  4. RS
    Roland Siegwart

    ETH Zurich, Switzerland

    27 publications · 4.6K citations

    21

    h-index

  5. GG
    Giorgio Grisetti

    Sapienza University of Rome, Italy

    26 publications · 8.1K citations

    20

    h-index

1–5 of 6.1K

Venues

  1. IEEE Transactions on Robotics

    76 publications · 16.2K citations

    52

    h-index

  2. The International Journal of Robotics Research

    IJRR · 72 publications · 12.7K citations

    48

    h-index

  3. IEEE Robotics and Automation Letters

    87 publications · 6.4K citations

    43

    h-index

  4. Sensors

    105 publications · 3.3K citations

    32

    h-index

  5. Journal of Field Robotics

    JFR · 40 publications · 4.1K citations

    30

    h-index

1–5