Abstract

We propose an off-axis flight vision display system design with a free-form surface using machine learning to simulate the visual distance variation during take-off and landing training for pilots. This design is realized by ray tracing using ZEMAX software, where we build and optimize a series of initial systems that meet the corresponding optical specifications. A deep neural network is used to train the regression model, which is specifically designed to predict the fitted polynomial model for the free-form surface of the system. Our results demonstrate that the design of a flight visual display system can be transformed into a machine learning problem and further optimized by training and learning with abundant data, providing an avenue to design more powerful and complex imaging optical systems.

Highlights

  • Aflight simulator is a special optoelectronic device that can simulate the processes during take-off and landing as well as the surrounding environment on the ground for pilots

  • This device has been developed for researches and applications for about half a century, which is widely used for pilot flight simulation training due to their safety and economic advantages

  • Three quantitative evaluation metrics (mean absolute error (MAE), explained variance regression score function (EV), and R2 regression score function) are utilized for the assessment of the regression model to quantify the performance of the proposed machine learning method for this free-form surface design

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Summary

Introduction

Aflight simulator is a special optoelectronic device that can simulate the processes during take-off and landing as well as the surrounding environment on the ground for pilots. This device has been developed for researches and applications for about half a century, which is widely used for pilot flight simulation training due to their safety and economic advantages. In the early 1960s, during the manned space program development, the visual display system was first applied in the flight simulation training [5]. The visual display system is gradually developing and changing with the rise in-flight simulator applications

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