Robust Anomaly Detection for Vision-Based Inspection of Railway Components
Document Series:
Technical Reports
Author:
- Federal Railroad Administration
Report Number
DOT/FRA/ORD-15/23
Office
RDI-21
Keywords:
visual track inspection; computer vision; concrete tie conditions; fastener inspection; tie inspection; crack detection; deep learning; distributed computing
DOT is committed to ensuring that information is available in appropriate alternative formats to meet the requirements of persons who have a disability. If you require an alternative version of files provided on this page, please contact
FRADevOps@dot.gov.
Last updated: Monday, June 22, 2015