Sensors 2012, 12(2), 1148-1169; doi:10.3390/s120201148
Article

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

Received: 2 December 2011; in revised form: 12 January 2012 / Accepted: 20 January 2012 / Published: 30 January 2012
(This article belongs to the Section Physical Sensors)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: 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.
Keywords: 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.

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.

Chicago/Turabian Style

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

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