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CMS-2025-013

Machine Learning Approach for Improving Data Accuracy of At-Line Automotive Measurements

Matt Cornelius, Curtis Tingle

Title graphic for CMS-2025-013: Machine Learning Approach for Improving Data Accuracy of At-Line Automotive Measurements

Abstract

How BMW's Spartanburg body shop applies machine learning to at-line measurement data: high-volume data acquisition feeding systems that monitor, predict and control body manufacturing processes, at the intersection of metrology, mathematical modelling and control theory.

Cite this paper

Matt Cornelius, Curtis Tingle. BMW Manufacturing Co., Plant Spartanburg, Body Shop Metrology, SC. Presented at the Coordinate Metrology Systems Conference 2025, Reno, Nevada, July 21-25, 2025. Coordinate Metrology Society, reference CMS-2025-013.