Robust Trajectory Prediction Using Random Forest Methodology Application to UAS-S4 Ehécatl

Robust Trajectory Prediction Using Random Forest Methodology Application to UAS-S4 Ehécatl

Accurate aircraft trajectory prediction is fundamental for enhancing air traffic control systems, ensuring a safe and efficient aviation transportation environment. This research presents a detailed study on the efficacy of the Random Forest (RF) methodology for predicting aircraft trajectories. The...

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Bibliographic Details
Main Authors: Seyed Mohammad Hashemi, Ruxandra Mihaela Botez, Georges Ghazi
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Aerospace
Subjects:
Unmanned Aerial System
trajectory prediction
Random Forest
Online Access:https://www.mdpi.com/2226-4310/11/1/49

Internet

https://www.mdpi.com/2226-4310/11/1/49

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