Abstract
Railway transportation demands more efficient and accurate rail wear inspection systems to ensure the train operation safety. To obtain continuous three-dimensional data, a structured light rail wear inspection system is developed in this article, and the data processing method for aligning the point cloud from structured light scanning to the nominal computer-aided design model of the rail is investigated. For further data registration, the point cloud of the computer-aided design model is generated and the normal vectors of these points are calculated. In the coarse registration, conformal geometric algebra is applied to align the segmented point clouds by intuitive geometric calculations to those from the computer-aided design model. In the fine registration, the accurate alignment of the point clouds is implemented by the iterative closest point algorithm. The vertical and lateral wear amounts are obtained on the cross section by slicing the aligned three-dimensional point clouds data. Finally, the proposed system and method are validated by comparing the vertical wear amounts with the two-dimensional laser scanning and contact measurement results.
Highlights
The demands for the inspection of railway system increase quickly with the significant progress of highspeed railway
A structured light rail wear inspection system is developed and corresponding data processing methods are proposed for rail wear evaluation
With the point clouds from structured light wear inspection system on the railway, the data alignment is implemented by coarse registration and fine registration
Summary
The demands for the inspection of railway system increase quickly with the significant progress of highspeed railway. Keywords Rail wear, computer-aided design model, point cloud, structured light, registration To inspect continuous rail profile, stripe structured light scanners were introduced in Chen and colleagues,[12,13] and the comparisons between the point cloud data and 3D computer-aided design (CAD) model were conducted.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.