APPLIED LASER, Volume. 41, Issue 5, 1132(2021)

Dynamic Vehicle 3D Model Reconstruction Based on Hybrid Solid-state Lidar

Dong Yiming1、*, Ke Fuyang2,3, and Gu Jing4
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
  • 4[in Chinese]
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    References(3)

    [10] [10] ZHAO J X, XU H, LIU H C, et al. Detection and tracking of pedestrians and vehicles using roadside LiDAR sensors[J]. Transportation Research Part C: Emerging Technologies, 2019, 100: 68-87.

    [11] [11] NAM D V, GON-WOO K. Solid-state LiDAR based-SLAM: a concise review and application[C]//2021 IEEE International Conference on Big Data and Smart Computing (BigComp). Jeju Island, Korea (South): IEEE, 2021: 302-305.

    [12] [12] LIU Y X, REN J P. Laser point cloud road 3D target detection based on deep learning[C]//2021 2nd International Conference on Big Data and Informatization Education (ICBDIE). Hangzhou, China: IEEE, 2021: 78-81.

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    Dong Yiming, Ke Fuyang, Gu Jing. Dynamic Vehicle 3D Model Reconstruction Based on Hybrid Solid-state Lidar[J]. APPLIED LASER, 2021, 41(5): 1132

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    Paper Information

    Received: Aug. 11, 2021

    Accepted: --

    Published Online: Jan. 17, 2022

    The Author Email: Yiming Dong (1097341268@qq.com)

    DOI:10.14128/j.cnki.al.20214105.1132

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