Real-Time Traffic Sign Detection and Recognition on FPGA

被引:0
|
作者
Yalcin, Huseyin [1 ]
Irmak, Hasan [1 ]
Bulut, Mehmet Mete [1 ]
Akar, Gozde Bozdagi [1 ]
机构
[1] Orta Dogu Tekn Univ, Elekt & Elekt Muhendisligi Bolumu, Ankara, Turkey
关键词
Traffic Sign Detection; Traffic Sign Recognition; Real-Time; FPGA;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Traffic Sign Recognition Systems (TSR) is one of the most important parts of the Advanced Driver Assistance Systems. For improved safety of ride, these systems should be reliable and must run in real-time. In this paper, a real time color and shape based TSR is proposed. Performance results are obtained by implementing proposed system on ML507 Evaluation Board.
引用
收藏
页数:4
相关论文
共 50 条
  • [31] Real-time embedded system for traffic sign recognition based on ZedBoard
    Farhat, Wajdi
    Faiedh, Hassene
    Souani, Chokri
    Besbes, Kamel
    JOURNAL OF REAL-TIME IMAGE PROCESSING, 2019, 16 (05) : 1813 - 1823
  • [32] Real-Time Traffic Sign Recognition using Color Segmentation and SVM
    Ardianto, Sandy
    Chen, Chih-Jung
    Hang, Hsueh-Ming
    2017 INTERNATIONAL CONFERENCE ON SYSTEMS, SIGNALS AND IMAGE PROCESSING (IWSSIP), 2017,
  • [33] RIECNN: real-time image enhanced CNN for traffic sign recognition
    Abdel-Salam, Reem
    Mostafa, Rana
    Abdel-Gawad, Ahmed H.
    NEURAL COMPUTING & APPLICATIONS, 2022, 34 (08): : 6085 - 6096
  • [34] Real-time embedded system for traffic sign recognition based on ZedBoard
    Wajdi Farhat
    Hassene Faiedh
    Chokri Souani
    Kamel Besbes
    Journal of Real-Time Image Processing, 2019, 16 : 1813 - 1823
  • [35] RIECNN: real-time image enhanced CNN for traffic sign recognition
    Abdel-Salam, Reem
    Mostafa, Rana
    Abdel-Gawad, Ahmed H.
    Neural Computing and Applications, 2022, 34 (08) : 6085 - 6096
  • [36] Towards Real-time Traffic Sign and Traffic Light Detection on Embedded Systems
    Jayasinghe, Oshada
    Hemachandra, Sahan
    Anhettigama, Damith
    Kariyawasam, Shenali
    Wickremasinghe, Tharindu
    Ekanayake, Chalani
    Rodrigo, Ranga
    Jayasekara, Peshala
    2022 IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV), 2022, : 723 - 728
  • [37] Towards Real-time Traffic Sign and Traffic Light Detection on Embedded Systems
    Department of Electronic and Telecommunication Engineering, University of Moratuwa, Sri Lanka
    arXiv,
  • [38] Real-Time Traffic Sign Detection and Recognition System Based on FriendlyARM Tiny4412 Board
    Truong Quang Vinh
    2015 INTERNATIONAL CONFERENCE ON COMMUNICATIONS, MANAGEMENT AND TELECOMMUNICATIONS (COMMANTEL), 2015, : 142 - 146
  • [39] LIDAR and Vision-Based Real-Time Traffic Sign Detection and Recognition Algorithm for Intelligent Vehicle
    Zhou, Lipu
    Deng, Zhidong
    2014 IEEE 17TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC), 2014, : 578 - 583
  • [40] A Low-Cost Fully Integer-Based CNN Accelerator on FPGA for Real-Time Traffic Sign Recognition
    Kim, Jaemyung
    Kang, Jin-Ku
    Kim, Yongwoo
    IEEE ACCESS, 2022, 10 : 84626 - 84634