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United States Department of Transportation United States Department of Transportation

Automated Video Inspection System for Grade Crossing Safety

Document Series
Research Results
Author
Federal Railroad Administration
Report Number
RR 21-05
Office
RPD-31
Subject Artificial Intelligence, Grade Crossing Pedestrian Safety, Grade Crossing Technology
Keywords
VisioStack, RailLinks, artificial intelligence, forward-facing video, grade crossing safety

The Federal Railroad Administration (FRA) has sponsored several programs to help reduce incidents at highway-rail crossings and improve the safety of both vehicles and pedestrians. One such recent project developed an artificial intelligence (AI)-based machine vision system to help inspect highway-rail grade crossings with forward-facing video (FFV) obtained from a Class I geometry car. The goal of this research is to apply the same concepts for locomotive-mounted FFV cameras, currently in common use within the industry; it complements manual inspections. FRA supported this research through its Phase I Small Business Innovation Research (SBIR) initiative.


Last updated: Friday, April 16, 2021