Laser & Optoelectronics Progress, Volume. 61, Issue 18, 1812006(2024)

3D Object Detection Algorithm Based on Improved YOLOv5

Xueqing Sheng, Shaobin Li*, Jinyan Qu, and Liu Liu
Author Affiliations
  • School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China
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    References(20)

    [5] Qi C R, Yi L, Su H et al. PointNet++: deep hierarchical feature learning on point sets in a metric space[C], 5105-5114(2017).

    [9] Zhuang W H, Tang X G, Zhang B Q et al. Remote sensing image rotatable bounding box object detection based on improved YOLOv5[J]. Electronic Design Engineering, 31, 137-141, 146(2023).

    [12] Han Z Y, Wang X L. An improved algorithm for small object detection based on YOLOv5[J]. Electronic Design Engineering, 31, 64-67, 72(2023).

    [20] Xie D S, Xu Y C, Lu F et al. Real-time detection of 3D objects based on multi-sensor information fusion[J]. Automotive Engineering, 44, 340-349, 339(2022).

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    Xueqing Sheng, Shaobin Li, Jinyan Qu, Liu Liu. 3D Object Detection Algorithm Based on Improved YOLOv5[J]. Laser & Optoelectronics Progress, 2024, 61(18): 1812006

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    Paper Information

    Category: Instrumentation, Measurement and Metrology

    Received: Jan. 5, 2024

    Accepted: Feb. 21, 2024

    Published Online: Sep. 14, 2024

    The Author Email: Shaobin Li (shbli@bjtu.edu.cn)

    DOI:10.3788/LOP240451

    CSTR:32186.14.LOP240451

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