NTL Record

Title Extended Field Trials of LRAIL for Automated Track Change Detection
Record ID 73782
Personal Name
Creator
Fox-Ivey, Richard; Nguyen, Thanh V.; Laurent, John
Corporate Creator Pavemetrics Systems, Inc.
Corporate
Contributor
United States. Department of Transportation. Federal Railroad Administration. Office of Railroad Policy and Development; United States. Department of Transportation. Federal Railroad Administration. Office of Research, Development and Technology
Publisher United States. Department of Transportation. Federal Railroad Administration
Publication Date 20200400
Language English
Abstract LRAIL is a 3-dimensional laser inspection system that combines high-speed laser triangulation sensors and artificial intelligence to automatically inspect the condition of, and detect safety-related changes in, railway infrastructure. For this project, LRAIL technology was installed on a specialized hi-rail inspection trailer and data were captured on Amtrak lines over a 4-month period in three separate deployments across an 8-mile test loop near the Delaware-Pennsylvania border. Repeat runs in the same direction and reverse runs were captured during each deployment to model repeatability, mean, and standard deviation of measurements. The noise floor for change detection was also modeled through analysis of repeat runs and the detection of known/deliberate changes. LRAIL change measurements were determined to be highly repeatable, with an overall average of 99.28 percent agreement between runs.
Rosap ID dot:48701
Rosap URL https://rosap.ntl.bts.gov/view/dot/48701
TRT Terms Triangulation; Algorithms; Detection and identification systems; Automatic train location; Safety; Inspection; Railroad tracks
General Subjects Laser triangulation; change detection; LRAIL
Geographical
Coverage
United States
TRIS Online
Accession No
1737120
Contract Number 693JJ618C000023
Report Number DOT/FRA/ORD-20/14
Resource type Tech Report
URL https://ntlrepository.blob.core.windows.net/lib/73000/73700/73782/DOT-FRA-ORD-20-14_20200406.pdf
Format PDF
Database NTL Digital Repository