Skip to Main Content
ASME Press Select Proceedings

International Conference on Control Engineering and Mechanical Design (CEMD 2017)

Chao Li
Chao Li
Search for other works by this author on:
No. of Pages:
ASME Press
Publication date:

The rail wear measurement has its importance on the maintenance of railways, and data acquisition and processing are crucial tasks for rail wear measurement. Rail wear directly influences wheel-rail contact and life of rail tracks, so accurate and effective measurement of rail wear is a continuous demand. In this paper, a structured light data acquisition system is developed, and a data processing method for the alignment of point clouds from structured light scanning and CAD model of the rail is proposed for rail wear measurement. For the alignment of the structured light data and CAD model, random points sampling from CAD models is conducted to generate enough points for point clouds registration. In the coarse registration, the curvature of the rail profile is utilized for the point feature histograms(PFH) generation. In the fine registration, the points on different surfaces of the rail are employed by the ICP algorithm. To find more effective registration means, the analysis from software Geomagic Qualify is compared. It reveals that the surfaces on the rail with less or without wear are more suitable for fine registration.

This content is only available via PDF.
Close Modal
This Feature Is Available To Subscribers Only

Sign In or Create an Account

Close Modal
Close Modal