A Visual Inspection System for Rail Detection and Tracking in Real Time Railway Maintenance
Rail inspection is an essential task in railway maintenance and is periodically needed. Inspection is manually operated by trained human operator walking along the track searching for visual anomalies. This monitoring is unacceptable for slowness and lack of objectivity. This paper deals with a pate...
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Published in | The open cybernetics & systemics journal Vol. 2; no. 1; pp. 57 - 67 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
17.03.2008
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Subjects | |
Online Access | Get full text |
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Abstract | Rail inspection is an essential task in railway maintenance and is periodically needed. Inspection is manually operated by trained human operator walking along the track searching for visual anomalies. This monitoring is unacceptable for slowness and lack of objectivity. This paper deals with a patented Visual Inspection System for Railway maintenance, devoted to different tasks. Here, its Rail Detection & Tracking Block (RD&TB) is presented. RD&TB detects and tracks, into the acquired video sequence the rail head, by this way, notably reducing the area to be analyzed and inspected by other modules of VISyR. Thanks to its hardware implementation, RD&TB performs its task in 5.71 [mu]s with an accuracy of 98.5%, allowing an on-the-fly analysis of a video sequence acquired up at 190 km/h. RD&TB is highly flexible and configurable, since it is based on classifiers that can be easily reconfigured in function of different type of rails. |
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AbstractList | Rail inspection is an essential task in railway maintenance and is periodically needed. Inspection is manually operated by trained human operator walking along the track searching for visual anomalies. This monitoring is unacceptable for slowness and lack of objectivity. This paper deals with a patented Visual Inspection System for Railway maintenance, devoted to different tasks. Here, its Rail Detection & Tracking Block (RD&TB) is presented. RD&TB detects and tracks, into the acquired video sequence the rail head, by this way, notably reducing the area to be analyzed and inspected by other modules of VISyR. Thanks to its hardware implementation, RD&TB performs its task in 5.71 [mu]s with an accuracy of 98.5%, allowing an on-the-fly analysis of a video sequence acquired up at 190 km/h. RD&TB is highly flexible and configurable, since it is based on classifiers that can be easily reconfigured in function of different type of rails. |
Author | Ruvo, G. De Ruvo, P. De Stella, E. Nitti, M. Distante, A. Marino, F. |
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CitedBy_id | crossref_primary_10_2339_politeknik_693223 crossref_primary_10_1007_s11042_015_2654_x crossref_primary_10_1016_j_measurement_2017_02_024 crossref_primary_10_1007_s40033_023_00507_5 crossref_primary_10_3390_app13106150 crossref_primary_10_5370_JEET_2015_10_3_1284 crossref_primary_10_1007_s13349_021_00504_w crossref_primary_10_1587_transinf_E95_D_690 crossref_primary_10_3390_app12052529 crossref_primary_10_1016_j_ifacol_2016_07_014 crossref_primary_10_1109_TIE_2018_2803780 crossref_primary_10_1109_TIE_2020_3013748 |
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SubjectTerms | Maintenance Railroad tracks Railroads Rails Railway engineering Railways Tasks Visual inspection |
Title | A Visual Inspection System for Rail Detection and Tracking in Real Time Railway Maintenance |
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