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Article

Complete Vision-Based Traffic Sign Recognition Supported by an I2V Communication System

1
Electronics Department, Polytechnic School, University of Alcalá, Madrid 28871, Spain
2
Computer Engineering Department, Polytechnic School, University of Alcalá, Madrid 28871, Spain
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Author to whom correspondence should be addressed.
Sensors 2012, 12(2), 1148-1169; https://doi.org/10.3390/s120201148
Received: 2 December 2011 / Revised: 12 January 2012 / Accepted: 20 January 2012 / Published: 30 January 2012
(This article belongs to the Section Physical Sensors)
This paper presents a complete traffic sign recognition system based on vision sensor onboard a moving vehicle which detects and recognizes up to one hundred of the most important road signs, including circular and triangular signs. A restricted Hough transform is used as detection method from the information extracted in contour images, while the proposed recognition system is based on Support Vector Machines (SVM). A novel solution to the problem of discarding detected signs that do not pertain to the host road is proposed. For that purpose infrastructure-to-vehicle (I2V) communication and a stereo vision sensor are used. Furthermore, the outputs provided by the vision sensor and the data supplied by the CAN Bus and a GPS sensor are combined to obtain the global position of the detected traffic signs, which is used to identify a traffic sign in the I2V communication. This paper presents plenty of tests in real driving conditions, both day and night, in which an average detection rate over 95% and an average recognition rate around 93% were obtained with an average runtime of 35 ms that allows real-time performance. View Full-Text
Keywords: traffic sign recognition; advanced driver assistance systems; I2V; computer vision traffic sign recognition; advanced driver assistance systems; I2V; computer vision
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MDPI and ACS Style

García-Garrido, M.A.; Ocaña, M.; Llorca, D.F.; Arroyo, E.; Pozuelo, J.; Gavilán, M. Complete Vision-Based Traffic Sign Recognition Supported by an I2V Communication System. Sensors 2012, 12, 1148-1169. https://doi.org/10.3390/s120201148

AMA Style

García-Garrido MA, Ocaña M, Llorca DF, Arroyo E, Pozuelo J, Gavilán M. Complete Vision-Based Traffic Sign Recognition Supported by an I2V Communication System. Sensors. 2012; 12(2):1148-1169. https://doi.org/10.3390/s120201148

Chicago/Turabian Style

García-Garrido, Miguel A., Manuel Ocaña, David F. Llorca, Estefanía Arroyo, Jorge Pozuelo, and Miguel Gavilán. 2012. "Complete Vision-Based Traffic Sign Recognition Supported by an I2V Communication System" Sensors 12, no. 2: 1148-1169. https://doi.org/10.3390/s120201148

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