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Title:

Automatic Track Inspection Using 3D Laser Profilers to Improve Rail Transit Asset Condition Assessment and State of Good Repair - A Preliminary Study
Cover of Automatic Track Inspection Using 3D Laser Profilers to Improve Rail Transit Asset Condition Assessment and State of Good Repair - A Preliminary Study

Accession Number:

01515685

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States

Abstract:

Track inspection is a critical process for both freight and transit rail safety. Currently, many rail transit agencies rely heavily on visual inspection, which is time and resource consuming, inefficient, and sometimes unreliable. Although some rail transit agencies do use ultrasound or track geometry car for track inspections, these devices can only identify certain types of defects and are usually expensive. Many small- or medium-sized transit agencies cannot afford to purchase them and only hire consultants to do inspections once or twice a year, even though they do have the needs to conduct the inspections more frequently. To address this issue, this research introduces a new computer vision framework specially designed for the automatic inspection of railroad tracks. The proposed framework is based on the Laser Crack Measurement System (LCMS), which consists of two high-performance 3D laser profilers that are able to measure complete transverse railroad profiles with 1mm resolution at high speeds. Compared to ultrasound and track geometry cars, the developed system is much more affordable and can be readily mounted on a high-rail vehicle that virtually every rail transit agency owns. Based on the 3D depth map generated by the LCMS, new methods have been developed for measuring rail gauge, detecting missing or broken fasteners, and identifying cracks in concrete ties. Preliminary results reveal that the newly proposed computer vision framework is a promising cost-effective and reliable alternative to the existing inspection methods.

Supplemental Notes:

This paper was sponsored by TRB committee AR055 Rail Transit Infrastructure. Alternate title: Automatic Track Inspection Using Three-Dimensional Laser Profilers to Improve Rail Transit Asset Condition Assessment and State of Good Repair: Preliminary Study

Monograph Accession #:

01503729

Report/Paper Numbers:

14-2342

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Xie, Yuanchang
Talbot, Mario
Zhao, Kaiguang
Laurent, John

Pagination:

15p

Publication Date:

2014

Conference:

Transportation Research Board 93rd Annual Meeting

Location: Washington DC
Date: 2014-1-12 to 2014-1-16
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Subject Areas:

Maintenance and Preservation; Public Transportation; Railroads; Vehicles and Equipment; I61: Equipment and Maintenance Methods

Source Data:

Transportation Research Board Annual Meeting 2014 Paper #14-2342

Files:

PRP, TRIS, TRB, ATRI

Created Date:

Jan 27 2014 2:50PM