Multi-sensor Localization

Multi-Sensor Localization is a localization framework that fuses data from multiple heterogeneous sensors to estimate the position and orientation of an entity, distinguished by its integration of complementary sensor modalities to enhance accuracy, robustness, and reliability in uncertain environments.

189

Publications

8.2K

Citations

668

Authors

282

Institutions

Publications per year

2017–2026

77

Authors

668

  1. MV
    Martin Vossiek

    Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany

    3 publications · 63 citations

    3

    h-index

  2. KC
    K. C. Ho

    University of Missouri, United States

    3 publications · 91 citations

    3

    h-index

  3. TL
    Trung-Kien Le

    National Institute of Informatics, Japan

    3 publications · 176 citations

    3

    h-index

  4. RC
    Ruizhi Chen

    Wuhan University, China

    3 publications · 121 citations

    3

    h-index

  5. GS
    Guobin Shen

    Microsoft Research Asia (China), China

    2 publications · 559 citations

    2

    h-index

1–5 of 668

Venues

  1. IEEE Access

    8 publications · 306 citations

    8

    h-index

  2. Sensors

    9 publications · 298 citations

    8

    h-index

  3. IEEE Transactions on Signal Processing

    7 publications · 498 citations

    7

    h-index

  4. IEEE Sensors Journal

    6 publications · 179 citations

    6

    h-index

  5. Robotics and Autonomous Systems

    4 publications · 86 citations

    4

    h-index

1–5