Airplane flight phase identification using maximum posterior probability method

N Kuzmenko, I Ostroumov… - 2022 IEEE 3rd …, 2022 - ieeexplore.ieee.org
The flight of a civil airplane is supported by many different systems. However, during the
flight pilots require different navigation and surveillance data to perform airplane guidance …

Aircraft flight regime recognition with deep temporal segmentation neural network

J Wu, C Hu, C Sun, X Chen, R Yan - Engineering Applications of Artificial …, 2023 - Elsevier
Timely and effective flight regime recognition is one of the key tasks for structural usage
monitoring, it can provide early warning to the dangerous regime. However, existing …

General Aviation Aircraft Identification at Non-Towered Airports Using a Two-Step Computer Vision-Based Approach

M Farhadmanesh, A Rashidi, N Marković - IEEE Access, 2022 - ieeexplore.ieee.org
Aircraft identification in airport operations is critical to various applications, including airport
planning and environmental studies. Previous research and commercially available systems …

Study on machine learning methods for general aviation flight phase identification

N Fala, G Georgalis, N Arzamani - Journal of Aerospace Information …, 2023 - arc.aiaa.org
Accurate identification of phases of flight is an essential step in analyses such as airport
operation counts, fuel burn estimation, and safety studies. Past research has focused …

Aircraft Surface Movement and Operation Monitoring Systems in General Aviation and Commercial Airports: A State-of-the-Art Review

M Farhadmanesh, A Rashidi, P Schonfeld… - Iranian Journal of …, 2024 - Springer
Airports are a critical component of the civil infrastructure system, serving as the main entry
and exit points for both people and goods. Aircraft operations on airfields are monitored by …

Improved Framework for Classification of Flight Phases of General Aviation Aircraft

Q Zhang, JH Mott - Transportation Research Record, 2023 - journals.sagepub.com
Flight data mining enables airport owners, operators, and governmental entities to explore
more intelligent management strategies; in particular, cost-effectively obtaining accurate …

[HTML][HTML] Quantifying the Environmental Impact of Private and Commercial Pilot License Training in Canada

SAQ Rizvi, S Kearns, S Cao - Air, 2024 - mdpi.com
As the global aviation sector expands to accommodate increasing air travel demand, the
subsequent rise in flights exacerbates carbon dioxide (CO2) emissions, challenging the …

An Exploratory Assessment of LLM's Potential Toward Flight Trajectory Reconstruction Analysis

Q Zhang, JH Mott - arXiv preprint arXiv:2401.06204, 2024 - arxiv.org
Large Language Models (LLMs) hold transformative potential in aviation, particularly in
reconstructing flight trajectories. This paper investigates this potential, grounded in the …

Flight phase classification for small unmanned aerial vehicles

J Leško, R Andoga, R Bréda, M Hlinková, L Fözö - Aviation, 2023 - jest.vgtu.lt
This article describes research on the classification of flight phases using a fuzzy inference
system and an artificial neural network. The aim of the research was to identify a small set of …

[HTML][HTML] Ecological and Cost Advantage from the Implementation of Flight Simulation Training Devices for Pilot Training

M Maciejewska, P Kurzawska-Pietrowicz… - Applied Sciences, 2024 - mdpi.com
The paper discusses a case study of obtaining an airline pilot license in integrated training—
the so-called “from zero to Airline Transport Pilot License”. The environmental implications of …