Flying By ML -- CNN Inversion of Affine Transforms

L. Van Warren

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arXiv · 2312.17258

Flying By ML -- CNN Inversion of Affine Transforms

L. Van Warren

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Abstract

This paper describes a machine learning method to automate reading of cockpit gauges, using a CNN to invert affine transformations and deduce aircraft states from instrument images. Validated with synthetic images of a turn-and-bank indicator, this research introduces methods such as generating datasets from a single image, the 'Clean Training Principle' for optimal noise-free training, and CNN interpolation for continuous value predictions from categorical data. It also offers insights into hyperparameter optimization and ML system software engineering.

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L. Van Warren. 2023-12-22. Flying By ML -- CNN Inversion of Affine Transforms. https://arxiv.org/abs/2312.17258

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