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Simulating and Verifying a 2D/3D Laser Line Sensor Measurement Algorithm on CAD Models and Real Objects.

Rok Belšak¹, Janez Gotlih¹, Timi Karner¹

¹Laboratory for Robotisation, Faculty of Mechanical Engineering, University of Maribor, 2000 Maribor, Slovenia.

Sensors (Basel, Switzerland)

|November 27, 2024

Summary

This summary is machine-generated.

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This study introduces a new MATLAB algorithm for simulating 2D/3D laser line sensor measurements on CAD models. The tool enhances accuracy and efficiency for industrial inspection and supports AI training with synthetic data.

Area of Science:

Engineering
Computer Science
Metrology

Background:

Industrial and research applications increasingly rely on 2D/3D laser line sensors for critical tasks.
Accurate and efficient simulation tools are essential for surface inspection, dimensional verification, and quality control.
Existing simulation methods face challenges with complex CAD models and sensor specifics.

Purpose of the Study:

To develop a novel, efficient MATLAB algorithm for simulating 2D/3D laser line sensor measurements on STL CAD models.
To address limitations in current simulation techniques, including handling complex geometries and sensor resolution.
To provide a tool that reduces the need for physical prototyping and aids in generating synthetic data for AI training.

Main Methods:

A modified fast-ray triangular intersection algorithm was implemented in MATLAB.

Keywords:

2D/3D laser line sensor Matlab STL measurement generation point cloud profilometry simulation

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The algorithm incorporates sensor resolution and handles overlapping triangles in assembly models.

Simulation results were quantitatively analyzed against real-world measurements.

Main Results:

The algorithm significantly reduces computation time compared to existing methods.
Simulations achieved a mean deviation of 0.42 mm when compared to actual measurements.
The method effectively simulates complex features like holes and grooves, generating point cloud data in various coordinate systems.

Conclusions:

The developed algorithm offers an accurate and efficient solution for simulating 2D/3D laser line sensor measurements.
This simulation tool supports industrial quality control, reduces physical prototyping, and facilitates AI model training.
Future research will focus on further optimizing speed and incorporating noise modeling for enhanced realism.