公开(公告)号：US12062174B2

公开(公告)日：2024-08-13

申请号：US17476377

申请日：2021-09-15

Applicant: SRI International

Inventor： Anil Usumezbas ,  Bogdan Calin Mihai Matei ,  Rakesh Kumar ,  Supun Samarasekera

IPC: G06T7/10 ,  G06T3/40 ,  G06T17/20 ,  G06V10/776 ,  G06V20/70

CPC classification number: G06T7/10 ,  G06T3/40 ,  G06T17/205 ,  G06V10/776 ,  G06V20/70 ,  G06T2207/10028 ,  G06T2207/20072 ,  G06T2207/20081 ,  G06T2207/20221 ,  G06T2207/30181 ,  G06T2210/56

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.

公开(公告)号：US20220222824A1

公开(公告)日：2022-07-14

申请号：US17476377

申请日：2021-09-15

Applicant: SRI International

Inventor： Anil Usumezbas ,  Bogdan Calin Mihai Matei ,  Rakesh Kumar ,  Supun Samarasekera

IPC: G06T7/10 ,  G06T17/20 ,  G06T3/40 ,  G06V20/70 ,  G06V10/776

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.