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:
Aug. 16, 2022

Filed:

Sep. 03, 2020
Applicant:

Ubtech Robotics Corp Ltd, Shenzhen, CN;

Inventors:

Chenchen Jiang, Shenzhen, CN;

Zhichao Liu, Shenzhen, CN;

Yongsheng Zhao, Shenzhen, CN;

Yu Tang, Shenzhen, CN;

Jianxin Pang, Shenzhen, CN;

Youjun Xiong, Shenzhen, CN;

Assignee:

UBTECH ROBOTICS CORP LTD, Shenzhen, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2022.01); G01S 19/47 (2010.01); G01S 19/48 (2010.01); G01S 19/49 (2010.01);
U.S. Cl.
CPC ...
G06K 9/6288 (2013.01); G01S 19/47 (2013.01); G01S 19/485 (2020.05); G01S 19/49 (2013.01); G06K 9/6232 (2013.01);
Abstract

The present disclosure provides a localization method as well as a helmet and a computer readable storage medium using the same. The method includes: extracting first feature points from a target image; obtaining inertial information of the carrier, and screening the first feature points based on the inertial information to obtain second feature points; triangulating the second feature points of the target image to generate corresponding initial three-dimensional map points, if the target image is a key frame image; performing a localization error loopback calibration on the initial three-dimensional map points according to at least a predetermined constraint condition to obtain target three-dimensional map points; and determining a positional point of the specific carrier according to the target three-dimensional map points. In this manner, the accuracy of the localization of a dynamic object such as a person when moving can be improved.


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