Titre:	A calibration method for a laser triangulation scanner mounted on a robot arm for surface mapping
Auteur(s):	Idrobo Pizo, Gerardo Antonio Motta, José Maurício Santos Torres Sampaio, Renato Coral
metadata.dc.identifier.orcid:	https://orcid.org/0000-0003-3970-4219
Assunto::	Calibração - sistema de varredura Digitalização a laser Triangulação Robótica Mapeamento de superfície Soldagem robótica Turbinas
Date de publication:	14-avr-2019
Editeur:	MPDI
Référence bibliographique:	IDROBO-PIZO, Gerardo Antonio; MOTTA, José Maurício S. T.; SAMPAIO, Renato Coral. A calibration method for a laser triangulation scanner mounted on a robot arm for surface mapping. Sensors, v. 19, n. 8, 1783, 2019. DOI: https://doi.org/10.3390/s19081783. Disponível em: https://www.mdpi.com/1424-8220/19/8/1783.
Abstract:	This paper presents and discusses a method to calibrate a specially built laser triangulation sensor to scan and map the surface of hydraulic turbine blades and to assign 3D coordinates to a dedicated robot to repair, by welding in layers, the damage on blades eroded by cavitation pitting and/or cracks produced by cyclic loading. Due to the large nonlinearities present in a camera and laser diodes, large range distances become di cult to measure with high precision. Aiming to improve the precision and accuracy of the range measurement sensor based on laser triangulation, a calibration model is proposed that involves the parameters of the camera, lens, laser positions, and sensor position on the robot arm related to the robot base to find the best accuracy in the distance range of the application. The developed sensor is composed of a CMOS camera and two laser diodes that project light lines onto the blade surface and needs image processing to find the 3D coordinates. The distances vary from 250 to 650 mm and the accuracy obtained within the distance range is below 1 mm. The calibration process needs a previous camera calibration and special calibration boards to calculate the correct distance between the laser diodes and the camera. The sensor position fixed on the robot arm is found by moving the robot to selected positions. The experimental procedures show the success of the calibration scheme.
metadata.dc.description.unidade:	Faculdade UnB Gama (FGA)
Licença::	© 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
DOI:	https://doi.org/10.3390/s19081783
Collection(s) :	Artigos publicados em periódicos e afins

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