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Machine Vision Inspection of Railroad Track. USDOT Region V Regional University Transportation Center Final Report.
| 题名： | Machine Vision Inspection of Railroad Track. USDOT Region V Regional University Transportation Center Final Report. |
| 作者： | L. F. Camargo; E. Resendiz; J. Hart; J. R. Edwards; N. Ahuja; |
| 关键词： | railroad tracks,inspection,computer vision,maintenance management,machine vision/image processing, automation, detection, defects, algorithms, derailment, safety, standards, accident prevention, regulations, implementation/image processing, automation, detection, defects, algorithms, derailment, safety, standards, accident prevention, regulations, implementation |
| 摘要： | Individual railroad track maintenance standards and the Federal Railroad Administration (FRA) Track Safety Standards require periodic inspection of railway infrastructure to ensure safe and efficient operation. This inspection is a critical, but labor-intensive task that results in large annual operating expenditures and has limitations in speed, quality, objectivity, and scope. To improve the cost-effectiveness of the current inspection process, machine vision technology can be developed and used as a robust supplement to manual inspections. One of the objectives of the research underway at the University of Illinois at Urbana-Champaign (UIUC) is to investigate the feasibility of using machine-vision technology to recognize turnout components, as well as the performance of algorithms designed to recognize and detect defects in other track components. In addition, to prioritize which components are the most critical for the safe operation of trains, a risk-based analysis of the FRA Accident Database was performed. / Supplementary Notes: Sponsored by Department of Transportation, Washington, DC. University Transportation Centers Program. / Availability Note: Order this product from NTIS by: phone at 1-800-553-NTIS (U.S. customers); (703)605-6000 (other countries); fax at (703)605-6900; and email at orders@ntis.gov. NTIS is located at 5301 Shawnee Road, Alexandria, VA, 22312, USA. / NTIS Prices: PC A04 / Corporate Author Code: 034597000 / Classifivation: Unclassified report |
| 报告类型： | 科技报告 |
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