Traffic sign detection and recognition system is becoming an essential component of smart cars. Speed-Limit Sign (SLS) is one of the most important traffic signs, since it is used to regulate the speed of vehicles in downtown and highways. The recognition of SLS by drivers is mandatory. In this paper, we investigate SLS detection and recognition system. We focus on North-American speed limit signs, including Canadian and U.S. signs. A modified version of Histogram of Oriented Gradients (HOG) is used to detect and recognize SLS through a set of two-level SVM-based classifiers. Moreover, we build our online database called North-American Speed Limit Signs (NASLS) which includes four SLS categories; white, yellow, black and orange signs. We show through an extensive set of experiments that our system achieves an accuracy of more than 94% of SLS recognition.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    North-American speed limit sign detection and recognition for smart cars


    Contributors:


    Publication date :

    2013-10-01


    Size :

    4214348 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    FPGA versus GPU for Speed-Limit-Sign Recognition

    Yih, Matthew / Ota, Jeffrey M. / Owens, John D. et al. | IEEE | 2018


    TRAFFIC SIGN RECOGNITION SYSTEM AND METHOD REFLECTING CONDITIONAL SPEED LIMIT

    RO DAI CHANG | European Patent Office | 2019

    Free access

    An efficient real time rectangle speed limit sign recognition system

    Zhang Yankun, / Hong Chuyang, / Wang, Charles | IEEE | 2010


    Speed Limit Sign Recognition Using MSER and Artificial Neural Networks

    Kundu, Subrata Kumar / Mackens, Patrick | IEEE | 2015


    Speed limit sign with speed measurement function

    WANG CHUAN / WANG SHIYUAN | European Patent Office | 2023

    Free access