Predicting Landing Position Deviation in Low-Visibility and Windy Environment Using Pilots’ Eye Movement Features

Predicting Landing Position Deviation in Low-Visibility and Windy Environment Using Pilots’ Eye Movement Features

Eye movement features of pilots are critical for aircraft landing, especially in low-visibility and windy conditions. This study conducts simulated flight experiments concerning aircraft approach and landing under three low-visibility and windy conditions, including no-wind, crosswind, and tailwind....

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Bibliographic Details
Main Authors: Xiuyi Li, Yue Zhou, Weiwei Zhao, Chuanyun Fu, Zhuocheng Huang, Nianqian Li, Haibo Xu
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Aerospace
Subjects:
eye movement features
landing position deviation
deep learning
CNN-LSTM model
random forest algorithm
Online Access:https://www.mdpi.com/2226-4310/12/6/523
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