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:
May. 06, 2025

Filed:

Jul. 12, 2023
Applicant:

Ubtech Robotics Corp Ltd, Shenzhen, CN;

Inventors:

Tiecheng Sun, Shenzhen, CN;

Jichao Jiao, Shenzhen, CN;

Assignee:

UBTECH ROBOTICS CORP LTD, Shenzhen, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 17/05 (2010.12); G06T 5/40 (2005.12); G06T 7/11 (2016.12); G06T 7/12 (2016.12); G06V 10/44 (2021.12); G06V 10/74 (2021.12);
U.S. Cl.
CPC ...
G06T 17/05 (2012.12); G06T 5/40 (2012.12); G06T 7/11 (2016.12); G06T 7/12 (2016.12); G06V 10/44 (2021.12); G06V 10/761 (2021.12); G06T 2207/10028 (2012.12);
Abstract

A method includes: performing semantic segmentation on an RGBD image to obtain a semantic label of each pixel of the image; performing reconstruction of a point cloud based on the image and mapping the semantic label of each pixel of the image into the point cloud to respectively obtain a semantic point cloud of a current frame with the semantic labels and a three-dimensional scene semantic map with the semantic labels; generating two-dimensional discrete semantic feature points for each of three-dimensional semantic point clouds in the current frame and the semantic map to obtain a corresponding two-dimensional semantic feature point image, and performing a three-dimensional semantic feature description on each feature point in the two-dimensional semantic feature point image; and performing feature matching on all feature points in the current frame and all feature points in the semantic map to obtain positioning information based on the three-dimensional semantic feature description.


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