Automatic Traffic Signs and Panels Inspection System Using Computer Vision

被引：55

作者：

Gonzalez, Alvaro ^{[1
,2
]}

Angel Garcia-Garrido, Miguel ^{[1
,2
]}

Fernandez Llorca, David ^{[1
,2
]}

Gavilan, Miguel ^{[1
,2
]}

Pablo Fernandez, J. ^{[1
,2
]}

Alcantarilla, Pablo F. ^{[1
,2
]}

Parra, Ignacio ^{[1
,2
]}

Herranz, Fernando ^{[1
,2
]}

Bergasa, Luis M. ^{[1
,2
]}

Angel Sotelo, Miguel ^{[1
,2
]}

Revenga de Toro, Pedro ^{[1
,2
]}

机构：

[1] Polytech Sch, Dept Elect, Alcala De Henares 28871, Spain

[2] Polytech Sch, Dept Automat, Alcala De Henares 28871, Spain

来源：

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS | 2011年 / 12卷 / 02期

关键词：

Computer vision; dynamic inspection; retroreflection; traffic signs detection; traffic signs recognition; HOUGH TRANSFORM; RECOGNITION; EXTRACTION;

D O I：

10.1109/TITS.2010.2098029

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

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.

引用

页码：485 / 499

页数：15

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