发明申请
- 专利标题: POINT CLOUD INTENSITY COMPLETION METHOD AND SYSTEM BASED ON SEMANTIC SEGMENTATION
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申请号: US17485402申请日: 2021-09-25
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公开(公告)号: US20220101548A1公开(公告)日: 2022-03-31
- 发明人: Jun LI , Xinyu ZHANG , Zhiwei LI , Zhenhong ZOU , Yi HUANG
- 申请人: Tsinghua University
- 申请人地址: CN Beijing
- 专利权人: Tsinghua University
- 当前专利权人: Tsinghua University
- 当前专利权人地址: CN Beijing
- 优先权: CN202011060052.X 20200930
- 主分类号: G06T7/521
- IPC分类号: G06T7/521 ; G06T7/11 ; G06T7/187 ; G06T5/50 ; G06T3/40 ; G06T3/60
摘要:
A point cloud intensity completion method and system based on semantic segmentation are provided. The point cloud intensity completion method includes: acquiring an RGB image and point cloud data of a road surface synchronously by a photographic camera and a lidar; performing spatial transformation on the point cloud data by using a conversion matrix to generate a two-dimensional reflection intensity projection map and a two-dimensional depth projection map; performing reflection intensity completion on the RGB image and the two-dimensional reflection intensity projection map to obtain a single-channel reflection intensity projection map; performing depth completion on the RGB image and the two-dimensional depth projection map to obtain a single-channel depth projection map; and performing coarse-grained completion on the RGB image, the single-channel reflection intensity projection map and the single-channel depth projection map to obtain a two-dimensional coarse-grained reflectance intensity projection map.
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