<abstract xmlns="http://www.w3.org/1999/xhtml"><p>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.</p></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.

Automated Railway Signs Detection. Preliminary Results

Transport and Telecommunication Journal

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"Automated Railway Signs Detection. Preliminary Results"}

Nowadays safety in railways is mostly achieved by automated system technologies such as ERTMS/ETCS. Nevertheless, on local railways (suburban and regional...

Automated Railway Signs Detection. Preliminary Results

Online veröffentlicht: 02. März 2019

Seitenbereich: 12 - 21

DOI: https://doi.org/10.2478/ttj-2019-0002

Schlüsselwörter
Railway safety, digital image processing technique, railway sign detection and recognition

© 2019 Transport and Telecommunication Institute, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Automated Railway Signs Detection. Preliminary Results

Online veröffentlicht: 02. März 2019

Seitenbereich: 12 - 21

DOI: https://doi.org/10.2478/ttj-2019-0002

SchlüsselwörterRailway safety, digital image processing technique, railway sign detection and recognition

© 2019 Transport and Telecommunication Institute, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
Railway safety, digital image processing technique, railway sign detection and recognition