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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 11586854 B1

PDFFull Text
Date of Patent:
Feb. 21, 2023

Filed:

Mar. 26, 2020

Devices and methods for accurately identifying objects in a vehicle's environment

Applicant:

Intel Corporation, Santa Clara, CA (US);

Inventors:

Nilesh Ahuja, Cupertino, CA (US);

Ibrahima Ndiour, Portland, OR (US);

Javier Felip Leon, Hillsboro, OR (US);

David Gomez Gutierrez, Tlaquepaque, MX;

Ranganath Krishnan, Hillsboro, OR (US);

Mahesh Subedar, Lavee, AZ (US);

Omesh Tickoo, Portland, OR (US);

Assignee:

Intel Corporation, Santa Clara, CA (US);

Attorney:

Viering, Jentschura & Partner mbB

Primary Examiner:

Charlotte M Baker

Int. Cl.
CPC ...
G06K 9/00 (2022.01); G06K 9/62 (2022.01); G05B 13/04 (2006.01); G06N 3/084 (2023.01); G05D 1/00 (2006.01); G05D 1/02 (2020.01); B60W 60/00 (2020.01); G05B 13/02 (2006.01); G06V 20/20 (2022.01); G06V 20/58 (2022.01); G06V 40/10 (2022.01);
U.S. Cl.
CPC ...
G06K 9/6265 (2013.01); B60W 60/0016 (2020.02); G05B 13/027 (2013.01); G05B 13/048 (2013.01); G05D 1/0088 (2013.01); G05D 1/0214 (2013.01); G05D 1/0221 (2013.01); G06K 9/6257 (2013.01); G06N 3/084 (2013.01); G06V 20/20 (2022.01); G06V 20/58 (2022.01); G06V 40/103 (2022.01); G05D 2201/0213 (2013.01);
Abstract

Vehicle navigation control systems in autonomous driving rely on accurate predictions of objects within the vicinity of the vehicle to appropriately control the vehicle safely through its surrounding environment. Accordingly this disclosure provides methods and devices which implement mechanisms for obtaining contextual variables of the vehicle's environment for use in determining the accuracy of predictions of objects within the vehicle's environment.

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