The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jan. 21, 2025

Filed:

Jul. 16, 2021
Applicant:

Huawei Technologies Co., Ltd., Shenzhen, CN;

Inventors:

Ran Cheng, Markham, CA;

Ryan Razani, North York, CA;

Bingbing Liu, Markham, CA;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/11 (2017.01); G01S 17/89 (2020.01); G01S 17/931 (2020.01); G06F 18/24 (2023.01); G06F 18/25 (2023.01);
U.S. Cl.
CPC ...
G06T 7/11 (2017.01); G01S 17/89 (2013.01); G01S 17/931 (2020.01); G06F 18/24 (2023.01); G06F 18/253 (2023.01); G06T 2207/10028 (2013.01); G06T 2207/20016 (2013.01); G06T 2207/20084 (2013.01);
Abstract

Systems, methods and apparatus for sematic segmentation of 3D point clouds using deep neural networks. The deep neural network generally has two primary subsystems: a multi-branch cascaded subnetwork that includes an encoder and a decoder, and is configured to receive a sparse 3D point cloud, and capture and fuse spatial feature information in the sparse 3D point cloud at multiple scales and multi hierarchical levels; and a spatial feature transformer subnetwork that is configured to transform the cascaded features generated by the multi-branch cascaded subnetwork and fuse these scaled features using a shared decoder attention framework to assist in the prediction of sematic classes for the sparse 3D point cloud.


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