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U.S. Department of Transportation U.S. Department of Transportation Icon United States Department of Transportation United States Department of Transportation

Automated Video Inspection System for Grade Crossing Safety

Document Series
Research Results
Federal Railroad Administration
Report Number
RR 21-05
Subject Artificial Intelligence, Grade Crossing Pedestrian Safety, Grade Crossing Technology
VisioStack, RailLinks, artificial intelligence, forward-facing video, grade crossing safety
AVIS-A.pdf (459.22 KB)

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