Autonomous Flight Signal Processing

Autonomous Flight Signal Processing is a specialized framework within avionics signal processing that enables aircraft systems to perceive, interpret, and respond to environmental and operational data without human intervention, distinguishing itself through integrated decision-making algorithms and real-time sensor fusion for self-reliant flight control.

6

Publications

190

Citations

18

Authors

8

Institutions

Publications per year

2017–2026

2

Authors

18

  1. SG
    Sanjeev Gunawardena

    Ohio University, United States

    1 publications · 24 citations

    1

    h-index

  2. ÁH
    Álvaro Hernández

    Universidad de Alcalá, Spain

    1 publications · 39 citations

    1

    h-index

  3. CV
    C.J.M. Verhoeven

    Delft University of Technology, Netherlands

    1 publications · 48 citations

    1

    h-index

  4. SE
    Steven Engelen

    Delft University of Technology, Netherlands

    1 publications · 48 citations

    1

    h-index

  5. MB
    Michael Berry

    University of South Alabama, United States

    1 publications · 47 citations

    1

    h-index

1–5 of 18