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:
Sep. 17, 2024

Filed:

Apr. 15, 2021
Applicant:

Shenzhen Intelligence Ally Technology Co., Ltd., Shenzhen, CN;

Inventors:

Qingquan Li, Shenzhen, CN;

Weicheng Xiong, Shenzhen, CN;

Liang Zhang, Shenzhen, CN;

Shuang Yang, Shenzhen, CN;

Xuewan Li, Shenzhen, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 20/64 (2022.01); G06T 7/13 (2017.01); G06T 7/246 (2017.01); G06T 7/73 (2017.01); G06V 10/44 (2022.01); G06V 10/46 (2022.01); G06V 10/75 (2022.01); G06V 20/10 (2022.01);
U.S. Cl.
CPC ...
G06V 20/64 (2022.01); G06T 7/13 (2017.01); G06T 7/248 (2017.01); G06T 7/74 (2017.01); G06V 10/457 (2022.01); G06V 10/462 (2022.01); G06V 10/757 (2022.01); G06V 20/10 (2022.01); G06T 2207/10028 (2013.01); G06T 2207/20221 (2013.01);
Abstract

Disclosed are a method for simultaneous localization and mapping, device, system and storage medium. The method comprises: acquiring a local binocular vision image and a local three-dimensional laser point cloud image that can be collected at present; preprocessing the local binocular vision image and the local three-dimensional laser point cloud image, respectively; acquiring a position and an attitude of a local binocular vision map according to the preprocessed local binocular vision image; fusing the position and attitude of the local binocular vision map with the preprocessed local three-dimensional laser point cloud image to obtain a local fusion map; and performing a global consistency optimization on a global map according to the local fusion map to obtain a dense point cloud map and output a current position information and a current attitude information in real time so as to complete the simultaneous localization and mapping (SLAM), wherein the global map is constructed according to a global three-dimensional laser point cloud image.


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