Methods and systems for semantic scene completion for sparse 3D data
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United States of America Patent
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Sep 3, 2024
Grant Date -
Apr 6, 2023
app pub date -
Oct 1, 2021
filing date -
Oct 1, 2021
priority date (Note) -
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Abstract
Methods and systems for performing semantic scene completion of sparse 3D data are described. A frame of sparse 3D data is preprocessed into a sparse 3D tensor and a sparse 2D tensor. A partially completed 3D tensor is generated from the sparse 3D tensor using a 3D prediction network, and a semantically completed 2D tensor is generated from the sparse 2D tensor using a 2D prediction network. The partially completed 3D tensor is completed to obtain a semantically completed 3D tensor by assigning a given class label, which has been assigned to a given pixel in the semantically completed 2D tensor, to a voxel at a corresponding x-y coordinate in the partially completed 3D tensor.
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