High-Resolution Point Cloud Registration Method for Three-Dimensional Piping Measurements

In this study, we propose a method for generating highly accurate high-density point clouds of piping facilities using an unmanned aerial vehicle (UAV) laser scanner and a handheld laser scanner. The point cloud for each scanline measured by the UAV scanner is repositioned on the piping axis, and th...

Full description

Saved in:
Bibliographic Details
Published in:Journal of robotics and mechatronics 2023-12, Vol.35 (6), p.1655-1662
Main Authors: Akiyama, Jin, Zong, Yuan, Shinada, Naoki, Suzuki, Taro, Amano, Yoshiharu
Format: Article
Language:English
Subjects:
Deviation
High density
Lasers
Piping
Scanners
Three dimensional models
Unmanned aerial vehicles
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In this study, we propose a method for generating highly accurate high-density point clouds of piping facilities using an unmanned aerial vehicle (UAV) laser scanner and a handheld laser scanner. The point cloud for each scanline measured by the UAV scanner is repositioned on the piping axis, and the handheld scanner’s 3D point cloud is subsequently registered so that the center axis of the piping coincides with the UAV point cloud as a reference. The method proposed in this study was used to accurately reconstruct linear piping measured in high winds, which can easily deteriorate measurement accuracy. Whereas the conventional method incurred a deviation of 44.3 mm between the predicted and true values at altitudes of 15 m, the proposed method reduced this deviation to 19.4 mm. An application of the registration method demonstrated that the combined use of the two laser scanners enabled the creation of a high-density point cloud.
ISSN:0915-3942
1883-8049
DOI:10.20965/jrm.2023.p1655