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:
May. 12, 2026

Filed:

Mar. 16, 2023
Applicant:

Nvidia Corporation, Santa Clara, CA (US);

Inventors:

Jiwoong Choi, Sunnyvale, CA (US);

Jose Manuel Alvarez Lopez, Mountain View, CA (US);

Shiyi Lan, Sunnyvale, CA (US);

Yashar Asgarieh, Palo Alto, CA (US);

Zhiding Yu, Cupertino, CA (US);

Assignee:

NVIDIA Corporation, Santa Clara, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 18/25 (2023.01); B60W 60/00 (2020.01); G06V 20/58 (2022.01);
U.S. Cl.
CPC ...
G06F 18/253 (2023.01); B60W 60/001 (2020.02); B60W 2420/403 (2013.01); G06V 20/58 (2022.01);
Abstract

In various examples, temporal-based perception for autonomous or semi-autonomous systems and applications is described. Systems and methods are disclosed that use a machine learning model (MLM) to intrinsically fuse feature maps associated with different sensors and different instances in time. To generate a feature map, image data generated using image sensors (e.g., cameras) located around a vehicle are processed using a MLM that is trained to generate the feature map. The MLM may then fuse the feature maps in order to generate a final feature map associated with a current instance in time. The feature maps associated with the previous instances in time may be preprocessed using one or more layers of the MLM, where the one or more layers are associated with performing temporal transformation before the fusion is performed. The MLM may then use the final feature map to generate one or more outputs.


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