Flying By ML -- CNN Inversion of Affine Transforms

• URL: http://arxiv.org/abs/2312.17258v1
• Date: Fri, 22 Dec 2023 05:24:30 GMT
• Title: Flying By ML -- CNN Inversion of Affine Transforms
• Authors: L. Van Warren
• Abstract summary: This paper describes a machine learning method to automate reading of cockpit gauges. It uses a CNN to invert affine transformations and deduce aircraft states from instrument images.
• Score: 0.0
• License: http://creativecommons.org/licenses/by-nc-sa/4.0/
• 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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