Invention Grant
- Patent Title: Semantic segmentation of three-dimensional data
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Application No.: US17208509Application Date: 2021-03-22
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Publication No.: US11657603B2Publication Date: 2023-05-23
- Inventor: Chris Jia-Han Zhang , Wenjie Luo , Raquel Urtasun
- Applicant: UATC, LLC
- Applicant Address: US CA Mountain View
- Assignee: UATC, LLC
- Current Assignee: UATC, LLC
- Current Assignee Address: US CA Mountain View
- Agency: Dority & Manning, P.A.
- Main IPC: G06V20/40
- IPC: G06V20/40 ; G06T3/00 ; G01S7/48 ; G06V20/56 ; G01S17/89

Abstract:
Systems and methods for performing semantic segmentation of three-dimensional data are provided. In one example embodiment, a computing system can be configured to obtain sensor data including three-dimensional data associated with an environment. The three-dimensional data can include a plurality of points and can be associated with one or more times. The computing system can be configured to determine data indicative of a two-dimensional voxel representation associated with the environment based at least in part on the three-dimensional data. The computing system can be configured to determine a classification for each point of the plurality of points within the three-dimensional data based at least in part on the two-dimensional voxel representation associated with the environment and a machine-learned semantic segmentation model. The computing system can be configured to initiate one or more actions based at least in part on the per-point classifications.
Public/Granted literature
- US20210209370A1 Semantic Segmentation of Three-Dimensional Data Public/Granted day:2021-07-08
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