No title
With future technologies and Industry 4.0, the need for robust and accurate positioning to optimize productivity and industrial operations increases. The previous positioning methods using triangulation or angle-of-arrival are not good enough, especially not for clutter-dense factories with poor line-of-sight conditions. For this thesis project, a convolutional neural network model was trained t
