United States Department of Transportation
i
Automated Video Inspection System for Grade Crossing Safety [Research Results]
-
2021-04-01
[PDF-459.15 KB]
Details:
-
Creators:
-
Corporate Creators:
-
Subject/TRT Terms:
-
Publication/ Report Number:
-
Resource Type:
-
Geographical Coverage:
-
Edition:Research Results
-
Contracting Officer:
-
Corporate Publisher:
-
Abstract: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.
-
Format:
-
Funding:
-
Collection(s):
-
Main Document Checksum:
-
Download URL:
-
File Type:
