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:
Sep. 01, 2026

Filed:

Mar. 08, 2022
Applicant:

Nvidia Corporation, Santa Clara, CA (US);

Inventors:

Christoph Angerer, Munich, DE;

Michele Fenzi, Munich, DE;

Nissan Haramati, San Jose, CA (US);

Ozan Tonkal, Denklingen, DE;

Suraj Kothawade, Dallas, TX (US);

Assignee:

NVIDIA Corporation, Santa Clara, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
B60W 60/00 (2020.01); G01C 21/00 (2006.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
B60W 60/001 (2020.02); G01C 21/3807 (2020.08); G06N 20/00 (2019.01); B60W 2420/403 (2013.01); B60W 2420/408 (2024.01); B60W 2552/45 (2020.02); B60W 2555/60 (2020.02);
Abstract

In various examples, map data or geospatial data is used to identify a subset of sensor data having a higher likelihood of including representations of a target object of interest from a larger set of sensor data. Feature vectors corresponding to the subset of sensor data may then be compared to template feature vectors corresponding to the target object in order to confirm the depiction of the target object in the sensor data. The identified sensor data may be used to train one or more machine learning model to compute outputs that correspond to object identification. The trained machine learning models may be used to identify objects in order to aid an autonomous or semi-autonomous machine in a surrounding environment.


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