• Infrared and Laser Engineering
  • Vol. 51, Issue 2, 20210871 (2022)
Xiaoduo Jiang, Xiaochen Zhao, Tianyi Mao, Weiji He*, and Qian Chen
Author Affiliations
  • School of Electronic and Optical Engineering, Nanjing University of Technology and Science, Nanjing 210094, China
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    DOI: 10.3788/IRLA20210871 Cite this Article
    Xiaoduo Jiang, Xiaochen Zhao, Tianyi Mao, Weiji He, Qian Chen. Single-photon LiDAR imaging method based on sensor fusion network[J]. Infrared and Laser Engineering, 2022, 51(2): 20210871 Copy Citation Text show less
    Experiment setup
    Fig. 1. Experiment setup
    Schematic diagram of multi-scale fusion network structure based on attention module
    Fig. 2. Schematic diagram of multi-scale fusion network structure based on attention module
    (a) The input intensity map; (b) The input depth map; (c) The result processed by MLE method; (d) The result processed by He et al. [16]; (e) The result processed by Lindell et al. [10]; (f) The result processed by proposed method in this paper
    Fig. 3. (a) The input intensity map; (b) The input depth map; (c) The result processed by MLE method; (d) The result processed by He et al. [16]; (e) The result processed by Lindell et al. [10]; (f) The result processed by proposed method in this paper
    (a) Network input intensity map; (b) The result of the method proposed in the paper; (c) The result processed by the network without attention module; (d) The result processed by the network without intensity guidance; (e) The result processed by the network of loss function without ordinal regression loss; (f) The result processed by the network without KL divergence
    Fig. 4. (a) Network input intensity map; (b) The result of the method proposed in the paper; (c) The result processed by the network without attention module; (d) The result processed by the network without intensity guidance; (e) The result processed by the network of loss function without ordinal regression loss; (f) The result processed by the network without KL divergence
    (a) Point cloud without upsampling; (b) Point cloud with post-upsampling method; (c) Point cloud with pre-upsampling method
    Fig. 5. (a) Point cloud without upsampling; (b) Point cloud with post-upsampling method; (c) Point cloud with pre-upsampling method
    PreprocessedMLEHe et al. [16]Lindell et al. [10]Proposed
    "N" and "J"0.84890.48230.39700.32530.3068
    Multi objects0.72040.45100.61290.24320.1958
    Table 1. Comparison of experimental quantitative results
    Without attentionWithout intensityKL + TVOR + TVProposed
    "N" and "J"0.72040.45100.61290.24320.1958
    Table 2. Ablation experimental quantitative results
    Xiaoduo Jiang, Xiaochen Zhao, Tianyi Mao, Weiji He, Qian Chen. Single-photon LiDAR imaging method based on sensor fusion network[J]. Infrared and Laser Engineering, 2022, 51(2): 20210871
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