Air Data Fusion

Air Data Fusion is a computational framework that integrates heterogeneous atmospheric and flight parameter measurements from multiple sensor sources to generate a unified, accurate, and reliable estimate of an aircraft’s air data state.

9

Publications

287

Citations

28

Authors

12

Institutions

Publications per year

2017–2026

4

Authors

28

  1. RL
    Rongbing Li

    Nanjing University of Aeronautics and Astronautics, China

    1 publications · 11 citations

    1

    h-index

  2. ZG
    Zheng Gong

    Beihang University, China

    1 publications · 17 citations

    1

    h-index

  3. TL
    Tingwan Lei

    Nanjing University of Aeronautics and Astronautics, China

    1 publications · 11 citations

    1

    h-index

  4. ZD
    Zihao Dong

    Beihang University, China

    1 publications · 17 citations

    1

    h-index

  5. DG
    Demoz Gebre‐Egziabher

    University of Minnesota, United States

    1 publications · 107 citations

    1

    h-index

1–5 of 28

Venues

  1. Journal of Aircraft

    2 publications · 127 citations

    2

    h-index

  2. Journal of Aerospace Engineering

    1 publications · 11 citations

    1

    h-index

  3. Sensors

    1 publications · 17 citations

    1

    h-index

  4. Advanced Intelligent Systems

    1 publications · 17 citations

    1

    h-index

  5. 1

    h-index

1–5