Adaptive Sensor Fusion

Adaptive Sensor Fusion is a sensor integration methodology that dynamically adjusts the weighting, selection, or combination of data from multiple sensors based on changing environmental conditions, sensor reliability, or system requirements to optimize overall perception accuracy and robustness.

164

Publications

7K

Citations

566

Authors

223

Institutions

Publications per year

2017–2026

66

Authors

566

  1. KS
    Kuo Su

    Tianjin University, China

    4 publications · 812 citations

    4

    h-index

  2. RL
    R.C. Luo

    National Chung Cheng University, Taiwan

    3 publications · 663 citations

    3

    h-index

  3. KS
    Kai Su

    National Chung Cheng University, Taiwan

    3 publications · 91 citations

    3

    h-index

  4. RC
    Ren C. Luo

    National Taiwan University, Taiwan

    3 publications · 150 citations

    3

    h-index

  5. JW
    Jiankang Wu

    University of Chinese Academy of Sciences, China

    2 publications · 87 citations

    2

    h-index

1–5 of 566

Venues

  1. Sensors

    9 publications · 560 citations

    8

    h-index

  2. 5

    h-index

  3. IEEE Sensors Journal

    5 publications · 741 citations

    5

    h-index

  4. 4

    h-index

  5. arXiv (Cornell University)

    Repository · 3 publications · 51 citations

    3

    h-index

1–5