Spatial Context Fusion

Spatial Context Fusion is a context-aware fusion method that integrates spatially distributed information by explicitly modeling the geometric and topological relationships among sensory inputs to enhance situational understanding in spatially heterogeneous environments.

21

Publications

1.4K

Citations

85

Authors

55

Institutions

Publications per year

2017–2026

15

Authors

85

  1. KS
    Kate Saenko

    University of California, Berkeley, United States

    3 publications · 768 citations

    3

    h-index

  2. RH
    Ronghang Hu

    University of California, Berkeley, United States

    2 publications · 603 citations

    2

    h-index

  3. JW
    Jinglu Wang

    Hong Kong University of Science and Technology, Hong Kong SAR China

    2 publications · 158 citations

    2

    h-index

  4. JS
    Jiaxiang Shang

    Hong Kong University of Science and Technology, Hong Kong SAR China

    2 publications · 158 citations

    2

    h-index

  5. TF
    Tian Fang

    Hong Kong University of Science and Technology, Hong Kong SAR China

    2 publications · 158 citations

    2

    h-index

1–5 of 85

Venues

  1. arXiv (Cornell University)

    Repository · 2 publications · 44 citations

    2

    h-index

  2. Remote Sensing

    1 publications · 34 citations

    1

    h-index

  3. Information Sciences

    1 publications · 41 citations

    1

    h-index

  4. Personal and Ubiquitous Computing

    1 publications · 34 citations

    1

    h-index

  5. Cognition

    1 publications · 33 citations

    1

    h-index

1–5