Chinese Journal of Liquid Crystals and Displays, Volume. 40, Issue 5, 773(2025)

Improved autonomous driving object detection based on YOLOv8s

Longchun WANG1,2, Wei FANG1, Lijuan ZHANG2, and Dongming LI2、*
Author Affiliations
  • 1School of Computer Science,Nanjing University of Information Science and Technology,Nanjing 210044,China
  • 2School of Internet of Things Engineering,Wuxi University,Wuxi 214105,China
  • show less
    References(23)

    [1] HAN S M, XIAO F, CHENG W S. Overview of the application of deep reinforcement learning in autonomous driving systems[J]. Journal of Xihua University (Natural Science Edition), 42, 25-31(2023).

    [3] REN S Q, HE K M, GIRSHICK R et al. Faster R-CNN: towards real-time object detection with region proposal networks[C], 91-99(2015).

    [4] YANG F F, LI J. Research review of YOLO target detection algorithm for autopilot[J]. Automotive Engineer, 1-11(2023).

    [7] XIE J, DENG Y M, WANG R M. Improved traffic sign detection algorithm based on YOLOv8s[J]. Computer Engineering, 50, 338-349(2024).

    [14] TONG Z J, CHEN Y H, XU Z W et al. Wise-IoU: bounding box regression loss with dynamic focusing mechanism[J/OL]. arXiv, 2301-10051(2023).

    [17] GEYER J, KASSAHUN Y, MAHMUDI M et al. A2D2: Audi autonomous driving dataset[J/OL]. arXiv, 2004-06320(2020).

    [21] WANG C C, HE W, NIE Y et al. Gold-YOLO: efficient object detector via gather-and-distribute mechanism[C], 2224(2024).

    Tools

    Get Citation

    Copy Citation Text

    Longchun WANG, Wei FANG, Lijuan ZHANG, Dongming LI. Improved autonomous driving object detection based on YOLOv8s[J]. Chinese Journal of Liquid Crystals and Displays, 2025, 40(5): 773

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category:

    Received: Sep. 20, 2024

    Accepted: --

    Published Online: Jun. 18, 2025

    The Author Email: Dongming LI (LDM0214@163.com)

    DOI:10.37188/CJLCD.2024-0290

    Topics