Research on Traffic Sign Recognition Based on CA-ASFF-YOLOv4

被引:0
|
作者
Leng, Kun [1 ]
Qin, Lunming [1 ]
Wang, Xi [2 ]
机构
[1] College of Electronic and Information Engineering, Shanghai University of Electric Power, Shanghai,201306, China
[2] School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing,100044, China
来源
Computer Engineering and Applications | 2023年 / 59卷 / 17期
关键词
Compilation and indexing terms; Copyright 2025 Elsevier Inc;
D O I
暂无
中图分类号
学科分类号
摘要
Complex networks - Feature extraction - Image enhancement - Intelligent systems
引用
下载
收藏
页码:169 / 177
相关论文
共 50 条
  • [31] Research on Recognition and Evaluation of Traffic Guide Sign
    Yuan, Li
    Cai, Ming-jie
    Guo, Tang-yi
    Jiang, Yu
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2015, 2015
  • [32] Traffic Sign Recognition Based on PCANet
    Le, Guoqing
    Yuan, Xue
    Zhang, Jing
    Li, HanSong
    PROCEEDINGS OF 2016 IEEE ADVANCED INFORMATION MANAGEMENT, COMMUNICATES, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (IMCEC 2016), 2016, : 807 - 811
  • [33] Traffic sign recognition based on subspace
    张志佳
    HE Chun-jing
    Li Yuan Yuan
    LI Wen-qiang
    Journal of Chongqing University(English Edition), 2016, 15 (02) : 52 - 60
  • [34] Study on Detection and Recognition of Traffic Lights Based on Improved YOLOv4
    Zhao, Ying
    Feng, Yiyuan
    Wang, Yueqiang
    Zhang, Zhihan
    Zhang, Zhihao
    SENSORS, 2022, 22 (20)
  • [35] PSG-Yolov5: A Paradigm for Traffic Sign Detection and Recognition Algorithm Based on Deep Learning
    Hu, Jie
    Wang, Zhanbin
    Chang, Minjie
    Xie, Lihao
    Xu, Wencai
    Chen, Nan
    SYMMETRY-BASEL, 2022, 14 (11):
  • [36] Traffic Sign Detection Based on Improved YOLOv5
    Zhou, Hua-Ping
    Xu, Chen-Chen
    Sun, Ke-Lei
    Journal of Computers (Taiwan), 2023, 34 (03) : 63 - 73
  • [37] Traffic Sign Detection Based on the Improved YOLOv5
    Zhang, Rongyun
    Zheng, Kunming
    Shi, Peicheng
    Mei, Ye
    Li, Haoran
    Qiu, Tian
    APPLIED SCIENCES-BASEL, 2023, 13 (17):
  • [38] A lightweight method for small scale traffic sign detection based on YOLOv4-Tiny
    Shen, Jie
    Liao, Hengsong
    Zheng, Li
    MULTIMEDIA TOOLS AND APPLICATIONS, 2023, 83 (40) : 88387 - 88409
  • [39] Research and Development of a Traffic Sign Recognition Module in Vietnam
    Tung, Pham Xuan
    Thien, Nguyen Luong
    Bach, Ngoc Pham Van
    Vu, Minh Hung
    ENGINEERING TECHNOLOGY & APPLIED SCIENCE RESEARCH, 2024, 14 (01) : 12740 - 12744
  • [40] Improved small target detection algorithm based on multiattention and YOLOv5s for traffic sign recognition
    Ma, Ge
    Li, Hongwei
    Yan, Ziwei
    Liu, Zhijie
    Zhao, Zhijia
    Gongcheng Kexue Xuebao/Chinese Journal of Engineering, 2024, 46 (09): : 1647 - 1658