Localization Under Dynamic Environments

Localization Under Dynamic Environments is a robotic localization framework that enables autonomous agents to accurately estimate their position and orientation in real-time while explicitly accounting for and mitigating the effects of moving obstacles and non-static environmental features.

540

Publications

33.4K

Citations

1.7K

Authors

522

Institutions

Publications per year

2017–2026

236

Authors

1.7K

  1. WB
    Wolfram Burgard

    University of Freiburg, Germany

    12 publications · 2.3K citations

    12

    h-index

  2. ST
    Sebastian Thrun

    Carnegie Mellon University, United States

    10 publications · 3.2K citations

    10

    h-index

  3. MQ
    Max Q.‐H. Meng

    Chinese University of Hong Kong, Hong Kong SAR China

    8 publications · 865 citations

    8

    h-index

  4. TD
    Tom Duckett

    University of Lincoln, United Kingdom

    8 publications · 603 citations

    8

    h-index

  5. GS
    Gaurav S. Sukhatme

    University of Southern California, United States

    7 publications · 599 citations

    7

    h-index

1–5 of 1.7K

Venues

  1. Robotics and Autonomous Systems

    30 publications · 2.5K citations

    27

    h-index

  2. IEEE Access

    21 publications · 946 citations

    17

    h-index

  3. IEEE Sensors Journal

    13 publications · 849 citations

    13

    h-index

  4. Sensors

    14 publications · 426 citations

    12

    h-index

  5. Journal of Intelligent & Robotic Systems

    11 publications · 479 citations

    10

    h-index

1–5