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Research of fast point cloud registration method in construction error analysis of hull blocks

Ji Wang, Shilin Huo, Yujun Liu, Rui Li, Zhongchi Liu

2020International Journal of Naval Architecture and Ocean Engineering20 citationsDOIOpen Access PDF

Abstract

The construction quality control of hull blocks is of great significance for shipbuilding. The total station device is predominantly employed in traditional applications, but suffers from long measurement time, high labor intensity and scarcity of data points. In this paper, the Terrestrial Laser Scanning (TLS) device is utilized to obtain an efficient and accurate comprehensive construction information of hull blocks. To address the registration problem which is the most important issue in comparing the measurement point cloud and the design model, an automatic registration approach is presented. Furthermore, to compare the data acquired by TLS device and sparse point sets obtained by total station device, a method for key point extraction is introduced. Experimental results indicate that the proposed approach is fast and accurate, and that applying TLS to control the construction quality of hull blocks is reliable and feasible.

Topics & Concepts

HullPoint cloudShipbuildingComputer sciencePoint (geometry)Cloud computingLaser scanningConvex hullReal-time computingEngineeringData miningEngineering drawingArtificial intelligenceLaserMarine engineeringMathematicsOperating systemArchaeologyRegular polygonGeometryHistoryOpticsPhysics3D Surveying and Cultural HeritageRemote Sensing and LiDAR ApplicationsRobotics and Sensor-Based Localization
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