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:
Jul. 18, 2023

Filed:

Dec. 22, 2020
Applicant:

Mineral Earth Sciences Llc, Mountain View, CA (US);

Inventors:

Alan Eneev, Sunnyvale, CA (US);

Jie Yang, Sunnyvale, CA (US);

Yueqi Li, San Jose, CA (US);

Yujing Qian, Mountain View, CA (US);

Nanzhu Wang, San Jose, CA (US);

Sicong Wang, Fremont, CA (US);

Sergey Yaroshenko, Newark, CA (US);

Assignee:

MINERAL EARTH SCIENCES LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G01C 21/00 (2006.01); G05D 1/02 (2020.01); G05D 1/00 (2006.01); G01S 19/42 (2010.01); G06V 20/56 (2022.01); G06V 20/10 (2022.01);
U.S. Cl.
CPC ...
G01C 21/3848 (2020.08); G01C 21/3826 (2020.08); G01S 19/42 (2013.01); G05D 1/0011 (2013.01); G05D 1/0212 (2013.01); G05D 1/0227 (2013.01); G06V 20/188 (2022.01);
Abstract

Implementations are directed to assigning corresponding semantic identifiers to a plurality of rows of an agricultural field, generating a local mapping of the agricultural field that includes the plurality of rows of the agricultural field, and subsequently utilizing the local mapping in performance of one or more agricultural operations. In some implementations, the local mapping can be generated based on overhead vision data that captures at least a portion of the agricultural field. In these implementations, the local mapping can be generated based on GPS data associated with the portion of the agricultural field captured in the overhead vision data. In other implementations, the local mapping can be generated based on driving data generated during an episode of locomotion of a vehicle through the agricultural field. In these implementations, the local mapping can be generated based on GPS data associated with the vehicle traversing through the agricultural field.


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