Laser & Optoelectronics Progress, Volume. 59, Issue 4, 0428002(2022)

Building Method of Semantic Map Based on Improved PFPN

Lijun Ren1, Yuansheng Liu2、*, and Kedi Zhong1
Author Affiliations
  • 1Beijing Key Laboratory of Information Service Engineering, Beijing Union University, Beijing 100101, China
  • 2Beijing Engineering Research Center of Smart Mechanical Innovation Design Service, Beijing 100101, China
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    References(17)

    [14] Zou B, Lin S Y, Yin Z S. Semantic mapping based on YOLOv3 and visual SLAM[J]. Laser & Optoelectronics Progress, 57, 201012(2020).

    [15] Zhang A W, Liu L L, Zhang X Z. Multi-feature 3D road point cloud semantic segmentation method based on convolutional neural network[J]. Chinese Journal of Lasers, 47, 0410001(2020).

    [16] Zhang J Y, Zhao X L, Chen Z. Review of semantic segmentation of point cloud based on deep learning[J]. Laser & Optoelectronics Progress, 57, 040002(2020).

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    Lijun Ren, Yuansheng Liu, Kedi Zhong. Building Method of Semantic Map Based on Improved PFPN[J]. Laser & Optoelectronics Progress, 2022, 59(4): 0428002

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: Mar. 8, 2021

    Accepted: Apr. 2, 2021

    Published Online: Feb. 15, 2022

    The Author Email: Liu Yuansheng (yuansheng@buu.edu.cn)

    DOI:10.3788/LOP202259.0428002

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