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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 12607738 B1

PDFFull Text
Date of Patent:
Apr. 21, 2026

Filed:

Mar. 14, 2023

Method and device with object recognition for information collected from moving object

Applicant:

Samsung Electronics Co., Ltd., Suwon-si, KR;

Inventors:

Jong-Sok Kim, Suwon-si, KR;

Sungdo Choi, Suwon-si, KR;

Seung Tae Khang, Suwon-si, KR;

Jinyong Jeon, Suwon-si, KR;

Young Rae Cho, Suwon-si, KR;

Assignee:

Samsung Electronics Co., Ltd., Suwon-si, KR;

Attorney:

NSIP Law

Primary Examiner:

Chineyere Wills-Burns

Assistant Examiner:

Lucius Cameron Gree undefined Allen

Int. Cl.
CPC ...
G01S 13/42 (2006.01); B60W 40/02 (2006.01); B60W 40/10 (2012.01); B60W 50/00 (2006.01); G01S 7/295 (2006.01); G01S 7/41 (2006.01); G01S 13/46 (2006.01); G01S 13/86 (2006.01); G01S 13/87 (2006.01); G01S 13/931 (2020.01); G01S 17/42 (2006.01); G01S 17/46 (2006.01); G01S 17/86 (2020.01); G01S 17/931 (2020.01); G06F 18/214 (2023.01); G06N 3/0464 (2023.01); G06N 3/08 (2023.01); G06V 10/82 (2022.01); G06V 20/58 (2022.01); H04W 4/46 (2018.01);
U.S. Cl.
CPC ...
G01S 13/931 (2013.01); G06V 10/82 (2022.01); G06V 20/58 (2022.01);
Abstract

A method and device for object recognition for information collected from a sensor of a moving object are disclosed. The method may include identifying a target with a confidence level of recognition accuracy less than a threshold, based on first sensing information collected from a moving object, obtaining second sensing information on the target from an interworking moving object, synchronizing the first sensing information and the second sensing information based on time information included in the first sensing information and time information included in the second sensing information, and training a neural network for estimating recognition information of the target from the first synchronized sensing information by using information on the target included in the second synchronized sensing information as ground truth data.

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