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
Parents
6
Orbiting Low Frequency Array for radio astronomy
Raj Thilak Rajan, Steven Engelen, Mark Bentum et al. · 2011 · 48 citations
Detection of unbalanced blade on UAV by means of audio signal
Jose Rangel‐Magdaleno, Jesús Ureña, Álvaro Hernández et al. · 2018 · 39 citations
Engineering, Aerospace Engineering, Mechanical Engineering +17
1–5 of 6
18
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8

National Institute of Astrophysics, Optics and Electronics
Puebla City, Mexico
1 h-index
1 publications
39 citations

University of Southern Denmark
Odense, Denmark
1 h-index
2 publications
44 citations

Universidad de Alcalá
Alcalá de Henares, Spain
1 h-index
3 publications
117 citations

University of Twente
Enschede, The Netherlands
1 h-index
1 publications
48 citations

Delft University of Technology
Delft, The Netherlands
1 h-index
3 publications
144 citations
Netherlands Institute for Radio Astronomy
Dwingeloo, The Netherlands
1 h-index
2 publications
96 citations
Maersk (Denmark)
Copenhagen, Denmark
1 h-index
2 publications
44 citations

Beijing Institute of Technology
Beijing, China
1 h-index
2 publications
20 citations
1–8 of 8
1 publications · 24 citations
1
h-index
Conference · 1 publications · 10 citations
1–2