Robust Sensor Fusion

Robust Sensor Fusion is a sensor fusion framework that maintains accurate and consistent state estimation in the presence of sensor faults, communication delays, or environmental uncertainties by adaptively weighting or rejecting unreliable measurements while preserving convergence and stability guarantees under non-ideal conditions.

205

Publications

11.5K

Citations

655

Authors

241

Institutions

Publications per year

2017–2026

94

Authors

655

  1. ZD
    Zili Deng

    Heilongjiang University, China

    16 publications · 694 citations

    15

    h-index

  2. WL
    Wenqiang Liu

    Heilongjiang University, China

    8 publications · 238 citations

    8

    h-index

  3. PZ
    Peng Zhang

    Heilongjiang University, China

    6 publications · 309 citations

    6

    h-index

  4. ZW
    Zidong Wang

    Brunel University of London, United Kingdom

    5 publications · 355 citations

    5

    h-index

  5. WQ
    Wenjuan Qi

    Heilongjiang University, China

    5 publications · 297 citations

    5

    h-index

1–5 of 655

Venues

  1. Sensors

    12 publications · 757 citations

    12

    h-index

  2. Information Fusion

    10 publications · 901 citations

    10

    h-index

  3. IEEE Sensors Journal

    8 publications · 610 citations

    8

    h-index

  4. Signal Processing

    6 publications · 258 citations

    6

    h-index

  5. Information Sciences

    5 publications · 314 citations

    5

    h-index

1–5