Laser measurement technology: fundamentals and applications, by Axel Donges and Reinhard Noll

2016 ◽  
Vol 57 (3) ◽  
pp. 446-447
Author(s):  
Nikolaos E. Myridis
2017 ◽  
Vol 872 ◽  
pp. 378-382
Author(s):  
Xin Qiang Ma ◽  
Hai Long Ge ◽  
Jian Ma ◽  
Wei Cheng ◽  
Yuan Ren

Aiming at the problem of the complicated process, the low precision and efficiency of crack detection and key geometric feature of the circular saw blade, the quality detection system of the circular saw blade based on the nondestructive testing and laser measurement technology is studied. By using the laser measurement technology and optimizing the data processing method, the face runout, the thickness of the circular saw blade are measured. The crack defects in the tooth root region of the circular saw blade are detected by eddy current nondestructive testing technology. The system achieves the radial detection of 1mm radial sawing, the detection accuracy of the round beating is> 0.03mm, and the thickness measurement accuracy is> 0.005mm.


2021 ◽  
Author(s):  
Yongchao Zhang ◽  
Tieli Zhang ◽  
Xiaoxue Liu ◽  
Shuo Jin ◽  
Xiujian Zhang ◽  
...  

2014 ◽  
Author(s):  
Mingdong Wang ◽  
Guangyu Wang ◽  
Dongsheng Qu

2021 ◽  
Author(s):  
Bahadır Ergün ◽  
Cumhur Şahin

Currently, as a result of the massive continuous advancements in laser measurement technology, possibilities of map production are broadened, the loss of time and the waste of material sources are highly prevented, and the accuracy and precision of the obtained results are significantly improved. In the view of engineering concept. However, big data which are from laser point clouds have been especially used in the significant procedures of surveying studies. Programming methods are dependent in each studies. In the necessity of the applications, the coding procedure has more efficient, the data of work has increased, and time has been consumed. The coding methods have necessarily been optimized for working together especially in the big data studies. In this section, an automated survey (building facade surveying) is produced from scanning data by means of coding in MatLAB.


2021 ◽  
Vol 15 (3) ◽  
pp. 274-289
Author(s):  
Yoshimasa Umehara ◽  
Yoshinori Tsukada ◽  
Kenji Nakamura ◽  
Shigenori Tanaka ◽  
Koki Nakahata ◽  
...  

Laser measurement technology has progressed significantly in recent years, and diverse methods have been developed to measure three-dimensional (3D) objects within environmental spaces in the form of point cloud data. Although such point cloud data are expected to be used in a variety of applications, such data do not possess information on the specific features represented by the points, making it necessary to manually select the target features. Therefore, the identification of road features is essential for the efficient management of point cloud data. As a technology for identifying features from the point cloud data of road spaces, in this research, we propose a method for automatically dividing point cloud data into units of features and identifying features from projected images with added depth information. We experimentally verified that the proposed method accurately identifies and extracts such features.


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