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:
Jan. 13, 2026

Filed:

Nov. 30, 2023
Applicant:

Nvidia Corporation, Santa Clara, CA (US);

Inventors:

Anurag Singh, Santa Clara, CA (US);

Sakib Ar Rahman, Ajax, CA;

Tao Fu, Jiangsu, CN;

Yifang Xu, San Jose, CA (US);

Gang Pan, Fremont, CA (US);

Assignee:

NVIDIA Corporation, Santa Clara, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 20/58 (2022.01); G01S 17/89 (2020.01); G06V 10/26 (2022.01); G06V 10/74 (2022.01); G06V 10/764 (2022.01);
U.S. Cl.
CPC ...
G06V 20/58 (2022.01); G01S 17/89 (2013.01); G06V 10/26 (2022.01); G06V 10/761 (2022.01); G06V 10/764 (2022.01);
Abstract

In various examples, detecting occluded objects within images or other sensor data representations for autonomous or semi-autonomous systems and applications is described herein. Systems and methods described herein may determine when objects are occluded at portions of images using various techniques. For example, an image may be processed in order to determine classifications associated with objects depicted by the image and, the classifications, along with labels that are projected on the image using a map, may then be used to determine whether one or more of the objects are occluded in the image. For another example, a map may be used to determine first distances to points within an environment and a point cloud may be used to determine second distances to the points within the environment. The distances may then be used to determine whether one or more objects are occluded within the image.


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