Aircraft Trajectory Prediction With Enriched Intent Using Encoder-Decoder Architecture

Aircraft Trajectory Prediction With Enriched Intent Using Encoder-Decoder Architecture

Aircraft trajectory prediction is a challenging problem in air traffic control, especially for conflict detection. Traditional trajectory predictors require a variety of inputs such as flight-plans, aircraft performance models, meteorological forecasts, etc. Many of these data are subjected to envir...

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Bibliographic Details
Main Authors: Phu N. Tran, Hoang Q. V. Nguyen, Duc-Thinh Pham, Sameer Alam
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Aircraft trajectory prediction
4D trajectory
machine learning
encoder-decoder
convolution neural network
recurrent neural network
Online Access:https://ieeexplore.ieee.org/document/9704880/

Internet

https://ieeexplore.ieee.org/document/9704880/

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