Flying By ML -- CNN Inversion of Affine Transforms

Autor:	Van Warren, L.
Rok vydání:	2023
Předmět:	Computer Science - Computer Vision and Pattern Recognition Computer Science - Artificial Intelligence Computer Science - Machine Learning
Druh dokumentu:	Working Paper
Popis:	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. Comment: 9 pages, 20 figures
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2312.17258 Zobrazit plný text záznamu View this record from Arxiv