Multi-sensor Kalman Fusion

Multi-Sensor Kalman Fusion is a state estimation framework that integrates measurements from multiple heterogeneous sensors within a unified Kalman filtering architecture to improve estimation accuracy and robustness by exploiting the complementary characteristics of the sensor data.

212

Publications

10.8K

Citations

677

Authors

242

Institutions

Publications per year

2017–2026

76

Authors

677

  1. ZD
    Zili Deng

    Heilongjiang University, China

    13 publications · 542 citations

    11

    h-index

  2. SS
    Shuli Sun

    Heilongjiang University, China

    5 publications · 108 citations

    5

    h-index

  3. JL
    Jinfang Liu

    China Agricultural University, China

    3 publications · 105 citations

    3

    h-index

  4. YL
    Ying Lei

    Xiamen University, China

    3 publications · 153 citations

    3

    h-index

  5. WL
    Wenqiang Liu

    Heilongjiang University, China

    3 publications · 126 citations

    3

    h-index

1–5 of 677

Venues

  1. Sensors

    13 publications · 758 citations

    13

    h-index

  2. IEEE Access

    5 publications · 189 citations

    5

    h-index

  3. 5

    h-index

  4. Measurement

    5 publications · 314 citations

    5

    h-index

  5. Information Fusion

    5 publications · 818 citations

    5

    h-index

1–5