Sensor Weighting

Sensor Weighting is a methodological framework within multisensor data integration that assigns differential credibility or influence to individual sensors based on their reliability, accuracy, and contextual relevance in order to optimize the fusion process.

38

Publications

2.9K

Citations

108

Authors

56

Institutions

Publications per year

2017–2026

12

Authors

108

  1. SG
    Shesheng Gao

    Northwestern Polytechnical University, China

    2 publications · 160 citations

    2

    h-index

  2. MZ
    Miaoyan Zhuang

    Northwestern Polytechnical University, China

    2 publications · 39 citations

    2

    h-index

  3. YZ
    Yongmin Zhong

    RMIT University, Australia

    2 publications · 160 citations

    2

    h-index

  4. CX
    Chunhe Xie

    Northwestern Polytechnical University, China

    2 publications · 39 citations

    2

    h-index

  5. MS
    Mel Siegel

    Carnegie Mellon University, United States

    1 publications · 50 citations

    1

    h-index

1–5 of 108

Venues

  1. Sensors

    5 publications · 96 citations

    5

    h-index

  2. Journal of Robotic Systems

    1 publications · 12 citations

    1

    h-index

  3. Journal of Applied Physiology

    1 publications · 1.9K citations

    1

    h-index

  4. Chinese Journal of Mechanical Engineering

    1 publications · 13 citations

    1

    h-index

  5. 1

    h-index

1–5