Localization Fusion

Localization Fusion is a multisensor data integration methodology that combines spatial and temporal information from multiple sensors to estimate the precise position and orientation of a target entity, distinguished by its emphasis on integrating heterogeneous localization inputs to enhance accuracy, robustness, and consistency in dynamic environments.

71

Publications

3K

Citations

253

Authors

97

Institutions

Publications per year

2017–2026

33

Authors

253

  1. JZ
    Jurek Z. Sąsiadek

    Carleton University, Canada

    3 publications · 187 citations

    3

    h-index

  2. XL
    Xin Li

    China University of Mining and Technology, China

    3 publications · 69 citations

    3

    h-index

  3. CJ
    Cyril Joly

    Université Paris Sciences et Lettres, France

    2 publications · 30 citations

    2

    h-index

  4. IS
    Isaac Skog

    KTH Royal Institute of Technology, Sweden

    2 publications · 55 citations

    2

    h-index

  5. DL
    David Lo

    Singapore Management University, Singapore

    2 publications · 49 citations

    2

    h-index

1–5 of 253

Venues

  1. IFAC Proceedings Volumes

    4 publications · 60 citations

    4

    h-index

  2. Information Fusion

    3 publications · 111 citations

    3

    h-index

  3. Sensors

    3 publications · 61 citations

    3

    h-index

  4. Future Generation Computer Systems

    FGCS · 2 publications · 58 citations

    2

    h-index

  5. Applied Sciences

    2 publications · 51 citations

    2

    h-index

1–5