Spatially Adaptive Retina-Like Sampling Method for Imaging LiDAR
To mitigate the conflict between imaging quality and speed, a spatially adaptive retina-like sampling method for 3-D imaging Lidar based on time-of-flight method is proposed. The differences between previous retina-like sampling method and the proposed method are described. Sampling points with dens...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
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| Series: | IEEE Photonics Journal |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8692398/ |
| _version_ | 1818458021095800832 |
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| author | Sihui Li Jie Cao Yang Cheng Lingtong Meng Wenze Xia Qun Hao Yami Fang |
| author_facet | Sihui Li Jie Cao Yang Cheng Lingtong Meng Wenze Xia Qun Hao Yami Fang |
| author_sort | Sihui Li |
| collection | DOAJ |
| description | To mitigate the conflict between imaging quality and speed, a spatially adaptive retina-like sampling method for 3-D imaging Lidar based on time-of-flight method is proposed. The differences between previous retina-like sampling method and the proposed method are described. Sampling points with dense distribution is for the area of interest while sparse distribution is for the area of uninterest, which obtains high imaging quality while consuming much less data acquisition time. Mathematical models of the spatially adaptive retina-like method are developed, and the key parameters are analyzed. To validate the spatially adaptive retina-like sampling method, we perform situational simulations to compare the proposed method with the previous one. Results demonstrate that the proposed method is capable of decreasing data acquisition time without considerable distortion of the interested target. Furthermore, the proposed method is analyzed under different scenes for single and multiple targets. Results illustrate that the proposed method performs better than the previous method. |
| first_indexed | 2024-12-14T22:51:50Z |
| format | Article |
| id | doaj.art-28e73eb02b0c4cd5bcb14d6fac2754a3 |
| institution | Directory Open Access Journal |
| issn | 1943-0655 |
| language | English |
| last_indexed | 2024-12-14T22:51:50Z |
| publishDate | 2019-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Photonics Journal |
| spelling | doaj.art-28e73eb02b0c4cd5bcb14d6fac2754a32022-12-21T22:44:42ZengIEEEIEEE Photonics Journal1943-06552019-01-0111311610.1109/JPHOT.2019.29108668692398Spatially Adaptive Retina-Like Sampling Method for Imaging LiDARSihui Li0https://orcid.org/0000-0001-6801-1943Jie Cao1https://orcid.org/0000-0001-8376-7669Yang Cheng2Lingtong Meng3Wenze Xia4Qun Hao5Yami Fang6Key Laboratory of Biomimetic Robots and Systems, Ministry of Education, Beijing Institute of Technology, Beijing, ChinaKey Laboratory of Biomimetic Robots and Systems, Ministry of Education, Beijing Institute of Technology, Beijing, ChinaKey Laboratory of Biomimetic Robots and Systems, Ministry of Education, Beijing Institute of Technology, Beijing, ChinaKey Laboratory of Biomimetic Robots and Systems, Ministry of Education, Beijing Institute of Technology, Beijing, ChinaKey Laboratory of Biomimetic Robots and Systems, Ministry of Education, Beijing Institute of Technology, Beijing, ChinaKey Laboratory of Biomimetic Robots and Systems, Ministry of Education, Beijing Institute of Technology, Beijing, ChinaShanghai Aerospace Control Technology Institute, Shanghai, ChinaTo mitigate the conflict between imaging quality and speed, a spatially adaptive retina-like sampling method for 3-D imaging Lidar based on time-of-flight method is proposed. The differences between previous retina-like sampling method and the proposed method are described. Sampling points with dense distribution is for the area of interest while sparse distribution is for the area of uninterest, which obtains high imaging quality while consuming much less data acquisition time. Mathematical models of the spatially adaptive retina-like method are developed, and the key parameters are analyzed. To validate the spatially adaptive retina-like sampling method, we perform situational simulations to compare the proposed method with the previous one. Results demonstrate that the proposed method is capable of decreasing data acquisition time without considerable distortion of the interested target. Furthermore, the proposed method is analyzed under different scenes for single and multiple targets. Results illustrate that the proposed method performs better than the previous method.https://ieeexplore.ieee.org/document/8692398/Spatially adaptiveretina-likethree-dimensional imagingLiDAR. |
| spellingShingle | Sihui Li Jie Cao Yang Cheng Lingtong Meng Wenze Xia Qun Hao Yami Fang Spatially Adaptive Retina-Like Sampling Method for Imaging LiDAR IEEE Photonics Journal Spatially adaptive retina-like three-dimensional imaging LiDAR. |
| title | Spatially Adaptive Retina-Like Sampling Method for Imaging LiDAR |
| title_full | Spatially Adaptive Retina-Like Sampling Method for Imaging LiDAR |
| title_fullStr | Spatially Adaptive Retina-Like Sampling Method for Imaging LiDAR |
| title_full_unstemmed | Spatially Adaptive Retina-Like Sampling Method for Imaging LiDAR |
| title_short | Spatially Adaptive Retina-Like Sampling Method for Imaging LiDAR |
| title_sort | spatially adaptive retina like sampling method for imaging lidar |
| topic | Spatially adaptive retina-like three-dimensional imaging LiDAR. |
| url | https://ieeexplore.ieee.org/document/8692398/ |
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