Point cloud intensity completion method and system based on semantic segmentation
AssigneeTsinghua University
InventorsJun LI, Xinyu ZHANG, Zhiwei LI, Zhenhong ZOU, Yi HUANG
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AssigneeTsinghua University
InventorsJun LI, Xinyu ZHANG, Zhiwei LI, Zhenhong ZOU, Yi HUANG
Estimating the term…
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.
A point cloud intensity completion method based on a semantic segmentation, comprising the steps of:
A point cloud intensity completion system based on a semantic segmentation, comprising a photographic camera, a lidar, a point cloud data pre-processing module, a coarse-grained reflection intensity completion module, a semantic segmentation module, and a fine-grained reflection intensity completion module, wherein
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