TY  - JOUR
PY  - 2012//
TI  - Complete Vision-Based Traffic Sign Recognition Supported by an I2V Communication System
JO  - Sensors (Basel)
A1  - García-Garrido, Miguel A.
A1  - Ocaña, Manuel
A1  - Llorca, David F.
A1  - Arroyo, Estefanía
A1  - Pozuelo, Jorge
A1  - Gavilán, Miguel
SP  - 1148
EP  - 1169
VL  - 12
IS  - 2
N2  - 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.<p />  <p>Language: en</p>
LA  - en
SN  - 1424-8220
UR  - http://dx.doi.org/10.3390/s120201148
ID  - ref1
ER  -