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Curve-Fitting Algorithm for the Inspection of Subtle Feature Lines on Automotive Outer Panels.

Chang-Whan Lee¹, Yun-Chan Chung¹

¹Department of Mechanical System Design Engineering, Seoul National University of Science and Technology, Seoul 01811, Korea.

Materials (Basel, Switzerland)

|September 23, 2022

Summary

This study introduces a new algorithm for accurately measuring subtle feature lines on car panels. The method effectively fits line-arc-line curves, improving automotive manufacturing inspection.

Keywords:

RANSAC automotive outer panel curve fitting sheet metal forming subtle feature line

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Area of Science:

Engineering
Manufacturing Technology
Computer Vision

Background:

Automotive outer panel feature lines present significant manufacturing and inspection challenges.
Accurate measurement of subtle feature lines is crucial for quality control in automotive production.

Purpose of the Study:

To develop and validate an algorithm for fitting line-arc-line curves to feature line data.
To address the difficulties in measuring and inspecting subtle feature lines on automotive panels.

Main Methods:

An iterative algorithm utilizing random sampling consensus (RANSAC) to identify circular arc segments.
Estimation of tangent lines to the identified circular arc based on surrounding data points.
Iterative refinement of the line-arc-line fit until a specified error tolerance is achieved.

Main Results:

The algorithm successfully separates circular arc points and estimates tangent lines.
Robustness demonstrated against noise and surface waves in simulated and real-world automotive panel data.
Validation through application to simulated data, experimental specimens, and actual automotive panels.

Conclusions:

The proposed line-arc-line fitting algorithm is effective for subtle feature lines on automotive panels.
The algorithm's robustness and applicability make it suitable for integration into the automotive panel manufacturing process.
Improved measurement and inspection capabilities for automotive feature lines.