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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 12488586 B1

PDFFull Text
Date of Patent:
Dec. 02, 2025

Filed:

Jun. 17, 2024

Row detection system and agricultural machine

Applicant:

Kubota Corporation, Osaka, JP;

Inventors:

Yuma Arakawa, Sakai, JP;

Mitsuaki Nagao, Sakai, JP;

Assignee:

KUBOTA CORPORATION, Osaka, JP;

Attorney:

Keating & Bennett, LLP

Primary Examiner:

Lindsay M Low

Assistant Examiner:

Ruben undefined Picon-Feliciano

Int. Cl.
CPC ...
G06V 20/10 (2022.01); A01B 69/00 (2006.01); A01B 69/04 (2006.01); G06T 7/70 (2017.01); G06V 10/25 (2022.01); G06V 10/28 (2022.01); G06V 10/44 (2022.01); G06V 10/56 (2022.01); G06V 10/764 (2022.01); G06V 20/56 (2022.01); H04N 23/90 (2023.01);
U.S. Cl.
CPC ...
G06V 20/188 (2022.01); A01B 69/001 (2013.01); A01B 69/008 (2013.01); G06T 7/70 (2017.01); G06V 10/25 (2022.01); G06V 10/28 (2022.01); G06V 10/44 (2022.01); G06V 10/56 (2022.01); G06V 10/764 (2022.01); G06V 20/56 (2022.01); G06T 2207/30188 (2013.01); G06T 2207/30252 (2013.01); H04N 23/90 (2023.01);
Abstract

A row detection system includes first and second imaging devices to be mounted on an agricultural machine, and a processor configured or programmed to perform image processing for first and second images which are generated by the first and second imaging devices, respectively. The second imaging device is located so that at least a portion of each front wheel and at least a portion of each rear wheel are included in the second image. The processor is configured or programmed to convert the first image into a first plan view image, convert the second image into a second plan view image, select a region of interest from the first plan view image based on a position of each front wheel and a position of each rear wheel in the second plan view image, and perform a row detection process targeted at the region of interest.

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