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:
Oct. 29, 2024

Filed:

Dec. 31, 2021
Applicant:

Rivian Ip Holdings, Llc, Irvine, CA (US);

Inventors:

Gary Fay, Hermosa Beach, CA (US);

Krishna Prasad Varadarajan Srinivasan, Mountain View, CA (US);

Assignee:

Rivian IP Holdings, LLC, Irvine, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 20/58 (2022.01); B60W 40/105 (2012.01); G06T 7/20 (2017.01); G06T 7/70 (2017.01); G06V 10/25 (2022.01); G06V 10/74 (2022.01);
U.S. Cl.
CPC ...
G06V 20/58 (2022.01); B60W 40/105 (2013.01); G06T 7/20 (2013.01); G06T 7/70 (2017.01); G06V 10/25 (2022.01); G06V 10/761 (2022.01); B60W 2554/80 (2020.02); G06T 2207/20081 (2013.01); G06T 2207/30252 (2013.01); G06T 2210/12 (2013.01);
Abstract

Systems and methods are provided to receive, at a processor associated with a vehicle and via one or more image sensors associated with the vehicle, image data associated with an environment surrounding the vehicle and corresponding to a first image captured at a first time, and additional image data associated with an environment surrounding the vehicle and corresponding to a second image captured by at a second time. The provided systems and methods may determine, based on the received additional image data and a machine learning model, that a tracked object identified in the first image is not detected in the second image, and may determine, based on vehicle data and tracking data of the tracked object, that the tracked object should be present in the second image and perform a remedial action on the additional image data to identify the tracked object in the second image.


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