International Journal of Engineering Management
Volume 3, Issue 1, June 2019, Pages: 33-39
Received: Jun. 10, 2019;
Accepted: Jul. 12, 2019;
Published: Jul. 31, 2019
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Liu Dingning, School of Civil and Transportation Engineering, Guangdong University of Technology, Guangzhou, China
Ding Qiong, School of Civil and Transportation Engineering, Guangdong University of Technology, Guangzhou, China
LiDAR technology has been widely applied in various disciplines as it can obtain 3D information of targets directly and accurately. However, it is still a challenge to processing LiDAR point clouds efficiently as its huge datasets and complicated processing procedures. Current processing methods need integrate multiple software to complete the whole processing procedures to produce final results which needs lots of time effort and cause low efficiency. By analyzing the theories and methods of LiDAR data processing procedures, this research aims to develop a new point cloud processing software based on PCL and Qt. Firstly, the overall design and modules of the processing system was introduced. The main modules include data management, visualization, filtering, segmentation modeling and auxiliary function. Secondly, to improve system security and maintenance convenience, the system adopts the object-oriented programming method to encapsulate private members and methods of classes, and only open public member variables and methods are available to users. The main classes which were employed in this research were explained. Finally, indoor environments datasets were used to verify the point cloud processing system. The results showed that system has strong interactivity, intuitive display, easy to use and comprehensive features and good results can be derived.
Point Cloud Processing System Development Based on PCL and Qt, International Journal of Engineering Management.
Vol. 3, No. 1,
2019, pp. 33-39.
Copyright © 2019 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/
) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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