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RESEARCH PRODUCT
Automated Railway Signs Detection. Preliminary Results
Marco GuerrieriGiuseppe Parlasubject
railway safety050210 logistics & transportation0209 industrial biotechnologyComputer science05 social sciencesGeneral Engineering02 engineering and technologyK4011-4343Transportation and communicationrailway sign detection and recognitionComputer Science Applications020901 industrial engineering & automation0502 economics and businessdigital image processing techniqueRailway safety digital image processing technique railway sign detection and recognitionRailway safetydescription
Abstract Nowadays safety in railways is mostly achieved by automated system technologies such as ERTMS/ETCS. Nevertheless, on local railways (suburban and regional lines) several tasks still depend on the choices and actions of a human crew. With the aim to improve safety in such type of railways, this research proposes a system for the automatic detection and recognition of railway signs by means of the digital image processing technique. First field applications, carried out on the Italian railway network, show that the proposed system is very accurate (the percentage of correctly detected railway signs is about 97%), even at high train speeds.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2019-02-01 | Transport and Telecommunication Journal |