Laser & Optoelectronics Progress, Volume. 61, Issue 12, 1228008(2024)

Real-Time Traffic Sign Detection Based on Yolov5-MGC

Ningke Zhu1, Qing Ge2, Hanwen Wang1, and Pengfei Yu1、*
Author Affiliations
  • 1School of Information Science & Engineering, Yunnan University, Kunming 650504, Yunnan, China
  • 2Kunming Public Security Traffic Management Information Application Center, Kunming 650000, Yunnan, China
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    References(29)

    [11] Wu M M, Zhang Z B, Song Y Z et al. Small-target detection network based on adaptive feature enhancement[J]. Laser & Optoelectronics Progress, 60, 0610004(2023).

    [24] Zhang J, Zou X, Kuang L D et al. CCTSDB 2021: a more comprehensive traffic sign detection benchmark[J]. Human-centric Computing and Information Sciences, 12, 23(2022).

    [28] Lü H F, Lu H C. Research on traffic sign recognition technology based on YOLOv5 algorithm[J]. Journal of Electronic Measurement and Instrumentation, 35, 137-144(2021).

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    Ningke Zhu, Qing Ge, Hanwen Wang, Pengfei Yu. Real-Time Traffic Sign Detection Based on Yolov5-MGC[J]. Laser & Optoelectronics Progress, 2024, 61(12): 1228008

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: Jul. 12, 2023

    Accepted: Sep. 18, 2023

    Published Online: Jun. 5, 2024

    The Author Email: Pengfei Yu (pfyu@ynu.edu.cn)

    DOI:10.3788/LOP231703

    CSTR:32186.14.LOP231703

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