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Improved autonomous driving object detection based on YOLOv8s
Image Processing | 更新时间:2025-05-13
    • Improved autonomous driving object detection based on YOLOv8s

    • In the field of autonomous driving, researchers have proposed an improved object detection algorithm based on YOLOv8s, which improves detection accuracy and model efficiency by optimizing network structure and loss function.
    • Chinese Journal of Liquid Crystals and Displays   Vol. 40, Issue 5, Pages: 773-784(2025)
    • DOI:10.37188/CJLCD.2024-0290    

      CLC: TP391
    • CSTR:32172.14.CJLCD.2024-0290    
    • Received:20 September 2024

      Revised:06 November 2024

      Published:05 May 2025

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  • WANG Longchun, FANG Wei, ZHANG Lijuan, et al. Improved autonomous driving object detection based on YOLOv8s[J]. Chinese journal of liquid crystals and displays, 2025, 40(5): 773-784. DOI: 10.37188/CJLCD.2024-0290. CSTR: 32172.14.CJLCD.2024-0290.

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WANG Longchun
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Related Institution

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