Artifact Removal in Long-Range Single Photon LiDAR via Waveforms-Guided Depth Image Estimation
Single-photon light detection and ranging (LiDAR) has widespread applications due to the ultra-high sensitivity of the single-photon detector. However, the reconstruction has been plagued by multiple types of noise caused by crosstalk, dark counts, and background light. Artifacts produced by crossta...
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| Format: | Article |
| Language: | English |
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IEEE
2024-01-01
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| Series: | IEEE Photonics Journal |
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| Online Access: | https://ieeexplore.ieee.org/document/10368284/ |
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| author | Jiying Chang Jining Li Rui Yu Kai Chen Yuye Wang Kai Zhong Degang Xu Jianquan Yao |
| author_facet | Jiying Chang Jining Li Rui Yu Kai Chen Yuye Wang Kai Zhong Degang Xu Jianquan Yao |
| author_sort | Jiying Chang |
| collection | DOAJ |
| description | Single-photon light detection and ranging (LiDAR) has widespread applications due to the ultra-high sensitivity of the single-photon detector. However, the reconstruction has been plagued by multiple types of noise caused by crosstalk, dark counts, and background light. Artifacts produced by crosstalk are particularly difficult to distinguish directly from the signal for single photon avalanche diode (SPAD) array detector. This work proposes a waveforms-guided depth image estimation method to remove the signal artifacts effectively. Experiments show that a region of interest recognition ratio of 1.02 is achieved at 4.2 km. The study demonstrates that this waveform-guided method has excellent potential for accurate target recognition in a long range. |
| format | Article |
| id | doaj-art-67f5641b224e469bb7b1b24acb0ee719 |
| institution | Kabale University |
| issn | 1943-0655 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Photonics Journal |
| spelling | doaj-art-67f5641b224e469bb7b1b24acb0ee7192025-08-20T03:32:37ZengIEEEIEEE Photonics Journal1943-06552024-01-011611610.1109/JPHOT.2023.334533210368284Artifact Removal in Long-Range Single Photon LiDAR via Waveforms-Guided Depth Image EstimationJiying Chang0https://orcid.org/0000-0003-0721-7045Jining Li1https://orcid.org/0000-0002-8096-4963Rui Yu2https://orcid.org/0009-0008-7662-8538Kai Chen3https://orcid.org/0000-0002-7450-6130Yuye Wang4https://orcid.org/0000-0003-2803-2509Kai Zhong5https://orcid.org/0000-0002-5320-8388Degang Xu6https://orcid.org/0000-0001-6903-0521Jianquan Yao7https://orcid.org/0000-0003-3105-4370Institute of Laser and Optoelectronics, School of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin, ChinaInstitute of Laser and Optoelectronics, School of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin, ChinaInstitute of Laser and Optoelectronics, School of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin, ChinaInstitute of Laser and Optoelectronics, School of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin, ChinaInstitute of Laser and Optoelectronics, School of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin, ChinaInstitute of Laser and Optoelectronics, School of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin, ChinaInstitute of Laser and Optoelectronics, School of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin, ChinaInstitute of Laser and Optoelectronics, School of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin, ChinaSingle-photon light detection and ranging (LiDAR) has widespread applications due to the ultra-high sensitivity of the single-photon detector. However, the reconstruction has been plagued by multiple types of noise caused by crosstalk, dark counts, and background light. Artifacts produced by crosstalk are particularly difficult to distinguish directly from the signal for single photon avalanche diode (SPAD) array detector. This work proposes a waveforms-guided depth image estimation method to remove the signal artifacts effectively. Experiments show that a region of interest recognition ratio of 1.02 is achieved at 4.2 km. The study demonstrates that this waveform-guided method has excellent potential for accurate target recognition in a long range.https://ieeexplore.ieee.org/document/10368284/Single-photon LiDARdepth imagingartifact removald-ToF |
| spellingShingle | Jiying Chang Jining Li Rui Yu Kai Chen Yuye Wang Kai Zhong Degang Xu Jianquan Yao Artifact Removal in Long-Range Single Photon LiDAR via Waveforms-Guided Depth Image Estimation IEEE Photonics Journal Single-photon LiDAR depth imaging artifact removal d-ToF |
| title | Artifact Removal in Long-Range Single Photon LiDAR via Waveforms-Guided Depth Image Estimation |
| title_full | Artifact Removal in Long-Range Single Photon LiDAR via Waveforms-Guided Depth Image Estimation |
| title_fullStr | Artifact Removal in Long-Range Single Photon LiDAR via Waveforms-Guided Depth Image Estimation |
| title_full_unstemmed | Artifact Removal in Long-Range Single Photon LiDAR via Waveforms-Guided Depth Image Estimation |
| title_short | Artifact Removal in Long-Range Single Photon LiDAR via Waveforms-Guided Depth Image Estimation |
| title_sort | artifact removal in long range single photon lidar via waveforms guided depth image estimation |
| topic | Single-photon LiDAR depth imaging artifact removal d-ToF |
| url | https://ieeexplore.ieee.org/document/10368284/ |
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