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. 11, 2023

Filed:

Jun. 30, 2022
Applicant:

Plusai, Inc., Cupertino, CA (US);

Inventors:

Inderjot Singh Saggu, Cupertino, CA (US);

Anurag Paul, Campbell, CA (US);

Mianwei Zhou, Santa Clara, CA (US);

Assignee:

PlusAI, Inc., Santa Clara, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/774 (2022.01); G06V 20/58 (2022.01); G06V 20/56 (2022.01); B60W 60/00 (2020.01); B60W 50/00 (2006.01);
U.S. Cl.
CPC ...
G06V 10/774 (2022.01); G06V 20/582 (2022.01); G06V 20/584 (2022.01); G06V 20/588 (2022.01); B60W 50/0098 (2013.01); B60W 60/001 (2020.02); B60W 2050/0022 (2013.01); B60W 2050/0028 (2013.01); B60W 2420/42 (2013.01); B60W 2552/10 (2020.02); B60W 2552/53 (2020.02); B60W 2555/60 (2020.02);
Abstract

This application is directed to augmenting training data used for vehicle driving modelling. A computer system obtains a first image of a road and identifies a drivable area of the road within the first image. The computer system obtains an image of an object and generates a second image from the first image by overlaying the image of the object over the drivable area. The second image is added to a corpus of training images to be used by a machine learning system to generate a model for facilitating driving of a vehicle (e.g., at least partial autonomously). In some embodiments, the computer system applies machine learning to train a model using the corpus of training images and distributes the model to one or more vehicles. In use, the model processes road images captured by the one or more vehicles to facilitate vehicle driving.


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