scholarly journals An Innovative Detection Method of High-Speed Railway Track Slab Supporting Block Plane Based on Point Cloud Data from 3D Scanning Technology

2019 ◽  
Vol 9 (16) ◽  
pp. 3345 ◽  
Author(s):  
Chen ◽  
Qin ◽  
Xia ◽  
Bao ◽  
Huang ◽  
...  
Keyword(s):  
Point Cloud ◽  
High Speed ◽  
Detection Method ◽  
Railway Track ◽  
Point Cloud Data ◽  
3D Scanner ◽  
High Speed Railway ◽  
Cloud Data ◽  
Plane Point ◽  
Track Slab

The dimension detection of high-speed railway track slabs is one of the most important tasks before the track slabs delivery. Based on the characteristics of a 3D scanner which can acquire a large amount of measurement data continuously and rapidly in a short time, this paper uses the integration of 3D scanner and the intelligent robot to detect the CRTSIII (China Railway Track System) track slab supporting block plane, then the dense and accurate supporting block plane point cloud data is obtained, and the point cloud data is registered with the established model. An improved Random Sample Consensus (RANSAC) plane fitting algorithm is also proposed to extract the data of supporting block plane point cloud in this paper. The detection method is verified and the quality analysis of the detection results is assessed by a lot of real point cloud data obtained on site. The results show that the method can meet the quality control of CRTSIII finished track slab and the detection standard. Compared with the traditional detection methods, the detection method proposed in this paper can complete the detection of a track slab in 7 min, which greatly improves the detection efficiency, and has better reliability. The method has wide application prospects in the field of railway component detection.

scholarly journals LiDAR Point Cloud Recognition and Visualization with Deep Learning for Overhead Contact Inspection

Sensors ◽  
2020 ◽  
Vol 20 (21) ◽  
pp. 6387 ◽  
Author(s):  
Xiaohan Tu ◽  
Cheng Xu ◽  
Siping Liu ◽  
Shuai Lin ◽  
Lipei Chen ◽  
...  
Keyword(s):  
Deep Learning ◽  
Computational Complexity ◽  
Point Cloud ◽  
High Speed ◽  
Point Cloud Data ◽  
Embedded Devices ◽  
Cloud Data ◽  
Manual Inspection ◽  
Order Of Magnitude ◽  
Supply Systems

As overhead contact (OC) is an essential part of power supply systems in high-speed railways, it is necessary to regularly inspect and repair abnormal OC components. Relative to manual inspection, applying LiDAR (light detection and ranging) to OC inspection can improve efficiency, accuracy, and safety, but it faces challenges to efficiently and effectively segment LiDAR point cloud data and identify catenary components. Recent deep learning-based recognition methods are rarely employed to recognize OC components, because they have high computational complexity, while their accuracy needs to be improved. To track these problems, we first propose a lightweight model, RobotNet, with depthwise and pointwise convolutions and an attention module to recognize the point cloud. Second, we optimize RobotNet to accelerate its recognition speed on embedded devices using an existing compilation tool. Third, we design software to facilitate the visualization of point cloud data. Our software can not only display a large amount of point cloud data, but also visualize the details of OC components. Extensive experiments demonstrate that RobotNet recognizes OC components more accurately and efficiently than others. The inference speed of the optimized RobotNet increases by an order of magnitude. RobotNet has lower computational complexity than other studies. The visualization results also show that our recognition method is effective.

Analysis of the Measuring Model of Auto-Evaluation System of Railway Coupler

2014 ◽  
Vol 644-650 ◽  
pp. 1118-1121
Author(s):  
Jin Huang ◽  
Si Han Chen ◽  
Kai Zheng ◽  
Feng Hua Zhang
Keyword(s):  
Evaluation System ◽  
Point Cloud ◽  
Detection Method ◽  
Complex Structure ◽  
Point Cloud Data ◽  
Cloud Data ◽  
Movement Mechanism

Due to the complex structure of railway coupler, the evaluation of coupler is always a difficult task for railway carriage inspection at present. Combining structural light scanning technology with movement mechanism, a coupler auto-evaluation system has been designed and realized. This paper emphasizes on analyzing the measuring model of the coupler evaluation system, and introducing the point cloud data processes for getting evaluation items. The system is more flexible and efficient than traditional detection method of coupler, and can meet the requirements of auto-evaluation items of coupler.

Building Damage Detection Method Based on Normal Vector Computation of Airborne Point Cloud Data

2021 ◽  
Author(s):  
Shusong Huang ◽  
Yong Zeng ◽  
Wei Yi ◽  
Weirong Chen ◽  
Wenbo Su ◽  
...  
Keyword(s):  
Damage Detection ◽  
Point Cloud ◽  
Detection Method ◽  
Building Damage ◽  
Normal Vector ◽  
Point Cloud Data ◽  
Cloud Data

A Person Detection Method Using 3D Laser Scanner – Proposal of Efficient Grouping Method of Point Cloud Data –

2015 ◽  
Vol 27 (4) ◽  
pp. 374-381 ◽  
Author(s):  
Kento Hosaka ◽  
◽  
Tetsuo Tomizawa
Keyword(s):  
Point Cloud ◽  
Detection Method ◽  
Laser Scanner ◽  
Experimental Results ◽  
Point Cloud Data ◽  
Shape Features ◽  
Person Detection ◽  
Cloud Data ◽  
Grouping Method ◽  
Individual Objects

<div class=""abs_img""> <img src=""[disp_template_path]/JRM/abst-image/00270004/07.jpg"" width=""300"" /> Our proposed method</div> The purpose of this study is to develop a system for detecting target persons using a 3D laser scanner. The system consists of two parts -- one for grouping and one for determining targets. The grouping part effectively segments individual objects by using two-step grouping. The target part determines target persons for grouping results using shape features. Experimental results showed that our proposed system detects targets as well as existing methods do and that our proposed method performs more quickly than existing methods do. </span>

scholarly journals Software to Determine Sphere Center from Terrestrial Laser Scanner Data per ASTM Standard E3125-17

2018 ◽  
Vol 123 ◽  
Author(s):  
Prem Rachakonda ◽  
Bala Muralikrishnan ◽  
Luc Cournoyer ◽  
Daniel Sawyer
Keyword(s):  
Point Cloud ◽  
High Speed ◽  
3D Imaging ◽  
Laser Scanner ◽  
Imaging Systems ◽  
Point Cloud Data ◽  
Dimensional Metrology ◽  
Cloud Data ◽  
Point To Point ◽  
Point Distance

Terrestrial laser scanners (TLSs) are instruments that can measure 3D coordinates of objects at high speed using a laser, resulting in high density 3D point cloud data. The Dimensional Metrology Group (DMG) at NIST performed research to support the development of documentary standards within ASTM E57 committee on 3D imaging systems. This led to the publication of the ASTM E3125-2017 standard on point-to-point distance performance evaluation of 3D imaging systems such as TLSs. To ensure that the data from different TLS systems are processed identically, the ASTM E3125- 2017 mandates the use of a common algorithm to determine the center of a sphere from point cloud data. This paper describes this algorithm and software code is provided as a download.

scholarly journals Experimental and Numerical Investigation on Repairing Effect of Polymer Grouting for Settlement of High-Speed Railway Unballasted Track

2019 ◽  
Vol 9 (21) ◽  
pp. 4496 ◽  
Author(s):  
Hongyuan Fang ◽  
Yingjie Su ◽  
Xueming Du ◽  
Fuming Wang ◽  
Bin Li
Keyword(s):  
High Speed ◽  
Three Dimensional ◽  
Polymer Materials ◽  
Railway Track ◽  
Fe Model ◽  
Cement Slurry ◽  
High Speed Railway ◽  
Application Range ◽  
Ballastless Track ◽  
Track Slab

Uneven settlement of high-speed railway subgrade leads to the irregularity of high-speed railway line, which seriously affects high-speed train operation. The skylight point of high-speed railway operation is short and the maintenance time is limited. Therefore, how to quickly lift and repair the ballastless track slab in the subsidence section is an urgent problem to be solved in the maintenance of high-speed railways. The two-component non-aqueous reactive polymer material has the advantages of strong expansive force, fast reaction speed, and wide application range, which is extremely suitable for the repair of high-speed railway track slab subsidence and lifting. In this study, the expansion force characteristics of different density polymer materials and the stress-deformation curves at corresponding density are tested in laboratory to propose the mechanical parameters of polymer. Then, a three-dimensional finite element (FE) model of high-speed railway train ballastless-track subgrade is established based on ABAQUS. The mechanical characteristics of CRTS III ballastless track under different repair materials, different elevation, and different density of polymer grouting materials are analyzed. The results show that, under the dynamic load of the train, the stress value of polymer repairing material is less than that of cement slurry, presenting a compressive stress state, which is similar to that of the complete subgrade surface. In addition, within a certain thickness range, increasing the thickness of polymer is beneficial to reducing the difference of stress variation between polymer filling layer and complete pavement. Once beyond this range, the thickness of polymer has little effect on the force variation.

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