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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.

Patent No.:

US 11568654 B1

PDFFull Text
Date of Patent:
Jan. 31, 2023

Filed:

Nov. 15, 2019

Object recognition method and object recognition device performing the same

Applicant:

Sos Lab Co., Ltd, Gwangju, KR;

Inventors:

Yong Yi Lee, Seongnam-si, KR;

Deok Yun Jang, Gwangju, KR;

Jun Hwan Jang, Suwon-si, KR;

Assignee:

SOS LAB Co., Ltd., Gwangju, KR;

Attorney:

Fenwick & West LLP

Primary Examiner:

Ming Y Hon

Int. Cl.
CPC ...
G06V 20/59 (2022.01); G06V 10/22 (2022.01); G06V 20/56 (2022.01); G06T 5/40 (2006.01); G06K 9/62 (2022.01); G06N 3/08 (2006.01); G06V 10/145 (2022.01); G06V 40/10 (2022.01); G01S 7/48 (2006.01);
U.S. Cl.
CPC ...
G06V 20/59 (2022.01); G06K 9/6217 (2013.01); G06N 3/08 (2013.01); G06T 5/40 (2013.01); G06V 10/145 (2022.01); G06V 10/22 (2022.01); G06V 20/56 (2022.01); G06V 40/10 (2022.01); G01S 7/4802 (2013.01); G01S 7/4808 (2013.01);
Abstract

Provided is an object recognition device for performing object recognition on a field of view (FoV). The object recognition device includes a light detection and ranging (LiDAR) data acquisition module configured to acquire data for the FoV from a sensor configured to project the FoV with a laser and receive reflected light, and a control module configured to perform object recognition on an object of interest in the FoV using an artificial neural network, wherein the control module includes a region of interest extraction module configured to acquire region of interest data based on acquired intensity data for the FoV, and an object recognition module configured to acquire object recognition data using an artificial neural network, and recognize the object of interest for the FoV.

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