• DocumentCode
    3735912
  • Title

    Evolutionary QR-Based Traffic Sign Recognition System for Next-Generation Intelligent Vehicles

  • Author

    Ehab Salahat;Hani Saleh;Andrzej Sluzek;Mahmoud Al-Qutayri;Baker Mohammed;Mohammed Ismail

  • Author_Institution
    Coll. of Eng., Khalifa Univ., Abu Dhabi, United Arab Emirates
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper introduces a dramatically novel traffic signs recognition (TSR) system that can perform traffic sign detection and tracking simultaneously. The proposed approach utilizes intensity images and the depth images, in parallel, to robustly detect and track traffic signs in real-time. Additionally, we suggest to supplement the ordinary traffic signs with the corresponding quick-response (QR) code plates that inherent the many advantages of the QR-codes, introducing the concept of QR-TSR systems.
  • Keywords
    "Vehicles","Roads","Image color analysis","Shape","Robustness","Real-time systems"
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference (VTC Fall), 2015 IEEE 82nd
  • Type

    conf

  • DOI
    10.1109/VTCFall.2015.7390939
  • Filename
    7390939