Identyfikatory
Warianty tytułu
Języki publikacji
Abstrakty
Using a lower-cost laser scanner for generating accuracy in 3D point-cloud has been a concern because of economic issues; therefore, this study aims to create a 3D point cloud of a target object using a low-cost 2D laser scanner, Hokuyo UTM 30LX. The experiment was carried out in November 2019 with 16 single scans from 8 different view points to capture the surface information of a structure object with many intricate details. The device was attached to a rail, and it could move with stable velocity thanks to an adjustable speed motor. The corresponding 16 point-clouds were generated by using the R language. Then, they were combined one by one to make a completed 3D point cloud in the united coordinate system. The resulted point cloud consisted of 1.4 million points with high accuracy (RMSE = ±1:5 cm) is suitable for visualizing and assessing the target object thanks to high dense point-cloud data. Both small details and characters on the object surface can be recognized directly from the point cloud. This result confirms the ability of generated the accuracy point cloud from the low-cost 2D laser scanner Hokuyo UTM 30LX for 3D visualizing or indirectly evaluating the current situation of the target object.
Czasopismo
Rocznik
Tom
Strony
451--467
Opis fizyczny
Bibliogr. 28 poz., il., tab.
Twórcy
autor
- Department of Geomatics Engineering, Faculty of Civil Engineering, Ho Chi Minh City University of Technology, Ho Chi Minh City, Vietnam
- Vietnam National University Ho Chi Minh City, Ho Chi Minh City, Vietnam
autor
- Department of Bridge and Highway Engineering, Faculty of Civil Engineering, Ho Chi Minh City University of Technology, Ho Chi Minh City, Vietnam
- Vietnam National University Ho Chi Minh City, Ho Chi Minh City, Vietnam
Bibliografia
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- [13] Q. Wangand and M.K. Kim, “Applications of 3D point cloud data in the construction industry: A fifteen-year review from 2004 to 2018”. Advanced Engineering Informatics, vol. 39, pp. 306-319, 2019.
- [14] T.Wang and Z. Xiong, “Methods of As-is BIM reconstruction using point cloud data for existing buildings”. IOP Conference Series: Earth and Environmental Science, Bristol, vol. 676, no. 1, 2021.
- [15] Y. He, et al., “Real-time 3D reconstruction of thin surface based on laser line scanner”. Sensors, vol. 20, no. 2, p. 534, 2020, DOI: 10.3390/s20020534.
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- [28] K. Tan, et al., “Estimation of soil surface water contents for intertidal mudflats using a near-infrared long-range terrestrial laser scanner”. ISPRS Journal of Photogrammetry and Remote Sensing, vol. 159, pp. 129-139, 2020, DOI: 10.1016/j.isprsjprs.2019.11.003.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-605dfd80-7076-4ca7-be7b-989f3750bc6d