JOURNAL ARTICLE

1209 Real Flight Analysis of Pilot Maneuver using Neural Network

Ryota MoriShinji Suzuki

Year: 2006 Journal:   The Proceedings of the Transportation and Logistics Conference Vol: 2006.15 (0)Pages: 273-276   Publisher: Japan Society Mechanical Engineers

Abstract

A neural network modeling approach has been developed to analyze human pilots' landing control at visual approach by utilizing the recorded time history of visual cues and pilot control. In real flight analysis, we develop the new method to obtain the necessary data by analyzing recorded video data. In this research, the accuracy of the obtained data is confirmed by comparing the video data with GPS/INS data. Moreover, several real flight experiments with various flight conditions are carried out and the characteristic of each pilot control method for each flight condition is revealed by contribution ratios analysis and sensitivity analysis.

Keywords:
Artificial neural network Computer science Global Positioning System Artificial intelligence Sensitivity (control systems) Simulation Computer vision Engineering

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Topics

Aerospace and Aviation Technology
Physical Sciences →  Engineering →  Aerospace Engineering

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