Automatic traffic signs and panels inspection system using computer vision

Computer vision techniques applied to systems used on road maintenance, which are related either to traffic signs or to the road itself, are playing a major role in many countries because of the higher investment on public works of this kind. These systems are able to collect a wide range of informa...

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Detalles Bibliográficos
Autores: González Arroyo, Álvaro, García Garrido, Miguel Ángel, Fernández Llorca, David|||0000-0003-2433-7110, Gavilán Velasco, Miguel, Fernández Rodríguez, José Pablo, Fernández Alcantarilla, Pablo, Parra Alonso, Ignacio|||0000-0002-3889-018X, Herranz Cabrilla, Fernando, Bergasa Pascual, Luis Miguel|||0000-0002-0087-3077, Sotelo Vázquez, Miguel Ángel|||0000-0001-8809-2103, Revenga de Toro, Pedro Alfonso|||0000-0003-2550-5972
Tipo de recurso: artículo
Fecha de publicación:2011
País:España
Institución:Universidad de Alcalá (UAH)
Repositorio:e_Buah Biblioteca Digital Universidad de Alcalá
Idioma:inglés
OAI Identifier:oai:ebuah.uah.es:10017/43347
Acceso en línea:http://hdl.handle.net/10017/43347
https://dx.doi.org/10.1109/TITS.2010.2098029
Access Level:acceso abierto
Palabra clave:Computer vision
Dynamic inspection
Retro-reflection
Traffic signs detection
Traffic signs recognition
Electrónica
Electronics
Descripción
Sumario:Computer vision techniques applied to systems used on road maintenance, which are related either to traffic signs or to the road itself, are playing a major role in many countries because of the higher investment on public works of this kind. These systems are able to collect a wide range of information automatically and quickly, with the aim of improving road safety. In this context, the correct visibility of traffic signs and panels is vital for the safety of drivers. This paper describes an approach to the VISUAL Inspection of Signs and panEls (“VISUALISE”), which is an automatic inspection system, mounted onboard a vehicle, which performs inspection tasks at conventional driving speeds. VISUALISE allows for an improvement in the awareness of the road signaling state, supporting planning and decision making on the administration's and infrastructure operators' side. A description of the main computer vision techniques and some experimental results obtained from thousands of kilometers are presented. Finally, the conclusions of the system are described.

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