Paper Info
Title
An RGB-D video-based wire detection tool to aid robotic arms during machine alignment measurement
Abstract
Industrial equipment may require precise alignment of components in order to function properly. In this work, we consider the machine alignment of a beamline in a research facility where an autonomous measurement system is used to execute these machine alignment procedures. The system consists of two robotic arms equipped with laser sensors placed at their ends which with the help of fiducial markers, are used by a camera system to calculate the position of the machine with respect to a stretched wire installed on top of the machines. In this work we propose a wire detection tool that assists the measurement process by detecting the line automatically through RGB-D images. Although the system was implemented for the specific application of beam line component alignment in the LHC tunnel, the same principle can be used in various other applications requiring detection of fine lines at a close distance.
Year
DOI
Venue
2018
10.1109/IST.2018.8577199
2018 IEEE International Conference on Imaging Systems and Techniques (IST)
Keywords
Field
DocType
robotics,image processing,depth segmentation
Beamline,Large Hadron Collider,Computer vision,Fiducial marker,Robotic arm,System of measurement,Computer science,Laser,RGB color model,Artificial intelligence,Industrial equipment
Conference
ISSN
ISBN
Citations 
1558-2809
978-1-5386-6629-6
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Leanne Attard101.35
Carl James Debono23811.66
Gianluca Valentino301.69
Mario Di Castro4105.79
Maria Laura Baiguera Tambutti500.68