Infrared and Laser Engineering, Volume. 51, Issue 2, 20210871(2022)
Single-photon LiDAR imaging method based on sensor fusion network
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Fig. 2. Schematic diagram of multi-scale fusion network structure based on attention module
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
Fig. 5. (a) Point cloud without upsampling; (b) Point cloud with post-upsampling method; (c) Point cloud with pre-upsampling method
Table 1. Comparison of experimental quantitative results
View tableView in ArticleTable 1. Comparison of experimental quantitative results
Preprocessed MLE He et al. [ 16 ]Lindell et al. [ 10 ]Proposed "N" and "J" 0.8489 0.4823 0.3970 0.3253 0.3068 Multi objects 0.7204 0.4510 0.6129 0.2432 0.1958
Table 2. Ablation experimental quantitative results
View tableView in ArticleTable 2. Ablation experimental quantitative results
Without attention Without intensity KL + TV OR + TV Proposed "N" and "J" 0.7204 0.4510 0.6129 0.2432 0.1958
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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
Paper Information
Category: Special issue-Infrared low light level night vision technology
Received: Nov. 23, 2021
Accepted: --
Published Online: Mar. 21, 2022
The Author Email: He Weiji (hewj@mail.njust.edu.cn)
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