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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Bibliographic Details
Published in:IEEE transactions on intelligent transportation systems 2011-06, Vol.12 (2), p.485-499
Main Authors: Gonzalez, Álvaro, Garrido, M A, Llorca, D F, Gavilan, M, Fernandez, J P, Alcantarilla, P F, Parra, I, Herranz, F, Bergasa, L M, Sotelo, M A, Revenga de Toro, P
Format: Article
Language:English
Subjects:
Applied sciences
Artificial intelligence
Automotive components
Cameras
Computer science
control theory
systems
Computer vision
dynamic inspection
Exact sciences and technology
Ground, air and sea transportation, marine construction
Image color analysis
Inspection
Lighting
Onboard
Panels
Pattern recognition. Digital image processing. Computational geometry
retroreflection
Road transportation and traffic
Roads
Traffic accidents & safety
Traffic signs
traffic signs detection
traffic signs recognition
Transforms
Vehicles
Visibility
Visual inspection
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Summary: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.
ISSN:1524-9050
1558-0016
DOI:10.1109/TITS.2010.2098029