Skip to Main Content (Press Enter)

Logo CNR
  • ×
  • Home
  • Persone
  • Pubblicazioni
  • Strutture
  • Competenze

UNI-FIND
Logo CNR

|

UNI-FIND

cnr.it
  • ×
  • Home
  • Persone
  • Pubblicazioni
  • Strutture
  • Competenze
  1. Pubblicazioni

A Visual Inspection System for Rail Detection & Tracking in Real Time Railway Maintenance

Articolo
Data di Pubblicazione:
2008
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) is presented. RD 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 performs its task in 5.71¼ ìs with an accuracy of 98.5%, allowing an on-the-fly analysis of a video sequence acquired up at 190 km/h. RD is highly flexible and configurable, since it is based on classifiers that can be easily reconfigured in function of different type of rails.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
Infrastructure maintenance; artificial vision; computing archite; FPGA; principal component analysis
Elenco autori:
DE RUVO, Pasquale; DE RUVO, Gianluigi; Distante, Arcangelo; Nitti, Massimiliano; Stella, Ettore
Autori di Ateneo:
NITTI MASSIMILIANO
STELLA ETTORE
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/82728
Pubblicato in:
IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS. PART C, APPLICATIONS AND REVIEWS
Journal
  • Utilizzo dei cookie

Realizzato con VIVO | Designed by Cineca | 26.5.0.0 | Sorgente dati: PREPROD (Ribaltamento disabilitato)