Laser & Optoelectronics Progress, Volume. 59, Issue 18, 1828004(2022)

3D Object Detection Based on Extremely Sparse Laser Point Cloud and RGB Images

Chao Qin1,2, Yafei Wang1, Yuchao Zhang2, and Chengliang Yin1、*
Author Affiliations
  • 1School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
  • 2Shanghai Intelligent and Connected Vehicle R&D Center Co., Ltd., Shanghai 201499, China
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    References(31)

    [1] Zhang Y H, Xu K, Zheng C H et al. Advanced research on information perception technologies of intelligent electric vehicles[J]. Chinese Journal of Scientific Instrument, 38, 794-805(2017).

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    Chao Qin, Yafei Wang, Yuchao Zhang, Chengliang Yin. 3D Object Detection Based on Extremely Sparse Laser Point Cloud and RGB Images[J]. Laser & Optoelectronics Progress, 2022, 59(18): 1828004

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: Aug. 3, 2021

    Accepted: Aug. 23, 2021

    Published Online: Aug. 29, 2022

    The Author Email: Yin Chengliang (clyin@sjtu.edu.cn)

    DOI:10.3788/LOP202259.1828004

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