Invention Grant
- Patent Title: Fully automated multimodal system architecture for semantic segmentation of large-scale 3D outdoor point cloud data
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Application No.: US17476377Application Date: 2021-09-15
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Publication No.: US12062174B2Publication Date: 2024-08-13
- Inventor: Anil Usumezbas , Bogdan Calin Mihai Matei , Rakesh Kumar , Supun Samarasekera
- Applicant: SRI International
- Applicant Address: US CA Menlo Park
- Assignee: SRI International
- Current Assignee: SRI International
- Current Assignee Address: US CA Menlo Park
- Agency: MOSER TABOADA
- Main IPC: G06T7/10
- IPC: G06T7/10 ; G06T3/40 ; G06T17/20 ; G06V10/776 ; G06V20/70

Abstract:
A method, machine readable medium and system for semantic segmentation of 3D point cloud data includes determining ground data points of the 3D point cloud data, categorizing non-ground data points relative to a ground surface determined from the ground data points to determine legitimate non-ground data points, segmenting the determined legitimate non-ground and ground data points based on a set of common features, applying logical rules to a data structure of the features built on the segmented determined non-ground and ground data points based on their spatial relationships and incorporated within a machine learning system, and constructing a 3D semantics model from the application of the logical rules to the data structure.
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