Low-Cost 3D Sensor System: Using Image-based Laser Triangulation
Published in ICROS 35th symposium, 2020
Jinsong Park1, Ilyas Talha1, Kim Hyongsuk1,2,*
1Division of Electronic Engineering, Intelligent Robots Research Center, Jeonbuk National University, Jeonju, South Korea
2Division of Electronic and Information Engineering, Jeonbuk National University, Jeonju, South Korea
*Corresponding author: hskim@jbnu.ac.kr

Using Image-based laser triangulation, this aritcle showes that the usability of cheap sensors available in some areas. Using these results, it can be used for further research related with 3D deep learning and robots.
Abstract
Recently the demand for 3D sensors is increasing in areas such as robots and 3D deep learning. So we analyzed applicability of laser triangulation, which is easy and simple to use in these fields. The results of the experiment shows that the depth was measured at a maximum error of 2cm from 150cm to 50cm. These results are expected to be available within a certain margin of error, and will be used for future research in 3D deep learning and robotics
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Citation
article{park2020low,
title={Low-Cost 3D Sensor System: Using Image-based Laser Triangulation},
author={Park, JinSeong and Ilyas, Talha and Lee, MunHaeng and Kim, SangCheol},
journal={제어로봇시스템학회 국내학술대회 논문집},
pages={105–107},
year={2020}}