Localization In Dynamic Environments

Localization in Dynamic Environments is a localization framework that enables an agent to estimate its position within an environment subject to continuous, unpredictable changes by integrating temporal observations and explicit modeling of dynamic elements to distinguish static landmarks from transient obstacles.

414

Publications

26.2K

Citations

1.3K

Authors

393

Institutions

Publications per year

2017–2026

190

Authors

1.3K

  1. WB
    Wolfram Burgard

    University of Freiburg, Germany

    10 publications · 2.1K citations

    10

    h-index

  2. ST
    Sebastian Thrun

    Carnegie Mellon University, United States

    8 publications · 3K citations

    8

    h-index

  3. OA
    Olivier Aycard

    Institut national de recherche en sciences et technologies du numérique, France

    7 publications · 493 citations

    7

    h-index

  4. MQ
    Max Q.‐H. Meng

    Chinese University of Hong Kong, Hong Kong SAR China

    7 publications · 851 citations

    7

    h-index

  5. JC
    Jiyu Cheng

    Shandong University, China

    5 publications · 265 citations

    5

    h-index

1–5 of 1.3K

Venues

  1. Robotics and Autonomous Systems

    19 publications · 1.6K citations

    16

    h-index

  2. IEEE Access

    20 publications · 901 citations

    16

    h-index

  3. IEEE Sensors Journal

    12 publications · 831 citations

    12

    h-index

  4. Sensors

    11 publications · 331 citations

    11

    h-index

  5. Autonomous Robots

    9 publications · 518 citations

    9

    h-index

1–5