For the assistance of drivers and for autonomous vehicles an automatic recognition of traffic signs is essential. Today’s traffic sign recognition systems are focusing on circular signs. Because speed limit signs are circular and because the recognition of speed limit signs deliver a high customer benefit, such systems have been realized primarily in series production. But for traffic sign recognition there are still many challenges to be tackled. This contribution presents how research and intelligent development of computer vision algorithms will enable much more advanced traffic sign recognition systems on embedded systems by reducing processing time while simultaneously enlarging functionality. The result is a reduction of hardware cost and energy consumption.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Future Computer Vision Algorithms for Traffic Sign Recognition Systems


    Additional title:

    Lect.Notes Mobility


    Contributors:


    Publication date :

    2015-06-30


    Size :

    9 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    Intelligent Traffic Sign Detection and Recognition Using Computer Vision

    Sheeba, S. Lilly / Vamsi, Vutukuri Madhu Sudhana / Sonti, Hemanth et al. | Springer Verlag | 2024


    Survey on Traffic Sign Recognition Using Computer Vision Technologies

    Nandhakumar, C. / A, Rajashiva / B, Srinithi et al. | IEEE | 2024


    VEHICLE VISION SYSTEM WITH ENHANCED TRAFFIC SIGN RECOGNITION

    BIEMER MICHAEL / BOEGEL RUEDIGER | European Patent Office | 2018

    Free access

    Vehicle vision system with enhanced traffic sign recognition

    BIEMER MICHAEL / BOEGEL RUEDIGER | European Patent Office | 2019

    Free access

    Traffic-sign recognition systems

    Escalera, Sergio ;Baró, Xavier ;Pujol, Oriol | TIBKAT | 2011