Title: | Simulating and verifying a 2D/3D laser line sensor measurement algorithm on CAD models and real objects |
---|
Authors: | ID Belšak, Rok (Author) ID Gotlih, Janez (Author) ID Karner, Timi (Author) |
Files: | sensors-24-07396_(1).pdf (8,99 MB) MD5: F9548BC0F6491916EA560A94FF15470B
https://www.mdpi.com/1424-8220/24/22/7396
|
---|
Language: | English |
---|
Work type: | Article |
---|
Typology: | 1.01 - Original Scientific Article |
---|
Organization: | FS - Faculty of Mechanical Engineering
|
---|
Abstract: | The increasing adoption of 2D/3D laser line sensors in industrial and research applications necessitates accurate and efficient simulation tools for tasks such as surface inspection, dimensional verification, and quality control. This paper presents a novel algorithm developed in MATLAB for simulating the measurements of any 2D/3D laser line sensor on STL CAD models. The algorithm uses a modified fast-ray triangular intersection method, addressing challenges such as overlapping triangles in assembly models and incorporating sensor resolution to ensure realistic simulations. Quantitative analysis shows a significant reduction in computation time, enhancing the practical utility of the algorithm. The simulation results exhibit a mean deviation of 0.42 mm when compared to real-world measurements. Notably, the algorithm effectively handles complex geometric features, such as holes and grooves, and offers flexibility in generating point cloud data in both local and global coordinate systems. This work not only reduces the need for physical prototyping, thereby contributing to sustainability, but also supports AI training by generating accurate synthetic data. Future work should aim to further optimize the simulation speed and explore noise modeling to enhance the realism of simulated measurements. |
---|
Keywords: | 2D/3D laser line sensor, profilometry, simulation, point cloud, measurement generation, STL, Matlab |
---|
Publication status: | Published |
---|
Publication version: | Version of Record |
---|
Submitted for review: | 07.11.2024 |
---|
Article acceptance date: | 18.11.2024 |
---|
Publication date: | 20.11.2024 |
---|
Publisher: | MDPI |
---|
Year of publishing: | 2024 |
---|
Number of pages: | 16 str. |
---|
Numbering: | Vol. 24, iss. 22, [article no.] 7396 |
---|
PID: | 20.500.12556/DKUM-91521  |
---|
UDC: | 004.946 |
---|
ISSN on article: | 1424-8220 |
---|
COBISS.SI-ID: | 219947267  |
---|
DOI: | 10.3390/s24227396  |
---|
Publication date in DKUM: | 10.01.2025 |
---|
Views: | 0 |
---|
Downloads: | 11 |
---|
Metadata: |  |
---|
Categories: | Misc.
|
---|
:
|
Copy citation |
---|
| | | Average score: | (0 votes) |
---|
Your score: | Voting is allowed only for logged in users. |
---|
Share: |  |
---|
Hover the mouse pointer over a document title to show the abstract or click
on the title to get all document metadata. |