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

Sensors

Miguel A. Garc໚-Garrido²  Manuel Oca༚²  David F. Llorca¹  Estefan໚ Arroyo²  Jorge Pozuelo² 

[1] Computer Engineering Department, Polytechnic School, University of Alcalá, Madrid 28871, Spain; E-Mails:;Electronics Department, Polytechnic School, University of Alcalá, Madrid 28871, Spain; E-Mails:

关键词: traffic sign recognition;    advanced driver assistance systems;    I2V;    computer vision;   

DOI  :  10.3390/s120201148

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2012 by the authors; licensee MDPI, Basel, Switzerland