Laser & Optoelectronics Progress, Volume. 61, Issue 24, 2412001(2024)

Vehicle Size Measurement and Information Identification Using an Improved DenseNet Approach

Shuanfeng Zhao*, Jian Yao, and Jia Li
Author Affiliations
  • College of Mechanical Engineering, Xi'an University of Science and Technology, Xi'an 710054, Shaanxi , China
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    References(24)

    [4] Yuan K, Xu S A, Fu Y Q et al. Research on weigh-in-motion algorithm of vehicles based on WOSA-BP[J]. Chinese Journal of Sensors and Actuators, 37, 50-57(2024).

    [11] Zhang B. Research on vehicle external profile measurement based on inverse projection image matching[D](2018).

    [18] Satarkar H, Zagade N, Gupta S et al. Comparative study between segmentation neural networks on pascal VOC dataset[J]. International Research Journal of Engineering and Technology, 8, 3931-3935(2021).

    [19] Jian K Q. Research on key technologies of object contour detection[D], 37-50(2022).

    [22] Lin Z S, Wang Y, Wang H et al. Expansion of depth-of-field of scattering imaging based on DenseNet[J]. Acta Optica Sinica, 42, 0436001(2022).

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    Shuanfeng Zhao, Jian Yao, Jia Li. Vehicle Size Measurement and Information Identification Using an Improved DenseNet Approach[J]. Laser & Optoelectronics Progress, 2024, 61(24): 2412001

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    Paper Information

    Category: Instrumentation, Measurement and Metrology

    Received: Mar. 5, 2024

    Accepted: Apr. 25, 2024

    Published Online: Dec. 19, 2024

    The Author Email:

    DOI:10.3788/LOP240825

    CSTR:32186.14.LOP240825

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