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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.

Patent No.:

US 12416714 B1

PDFFull Text
Date of Patent:
Sep. 16, 2025

Filed:

Mar. 21, 2022

Sensor data point cloud generation for map creation and localization for autonomous systems and applications

Applicant:

Nvidia Corporation, Santa Clara, CA (US);

Inventors:

Amir Akbarzadeh, San Jose, CA (US);

Andrew Carley, Kenmore, WA (US);

Birgit Henke, Seattle, WA (US);

Si Lu, San Jose, CA (US);

Ivana Stojanovic, Oakland, CA (US);

Jugnu Agrawal, San Jose, CA (US);

Michael Kroepfl, Kirkland, WA (US);

Yu Sheng, San Diego, CA (US);

David Nister, Bellevue, WA (US);

Enliang Zheng, Redmond, WA (US);

Assignee:

NVIDIA CORPORATION, Santa Clara, CA (US);

Attorney:

Maschoff Brennan

Primary Examiner:

Gregory A Morse

Assistant Examiner:

Renae A Bitor

Int. Cl.
CPC ...
G01S 13/04 (2006.01); B60W 40/10 (2012.01); B60W 40/12 (2012.01); B60W 60/00 (2020.01); G01S 7/00 (2006.01); G01S 7/40 (2006.01); G01S 13/86 (2006.01); G01S 13/89 (2006.01); G01S 13/931 (2020.01); G01S 17/04 (2020.01); G01S 17/931 (2020.01); G06T 7/73 (2017.01); G06V 10/26 (2022.01); G06V 10/28 (2022.01);
U.S. Cl.
CPC ...
G01S 13/04 (2013.01); B60W 40/10 (2013.01); B60W 40/12 (2013.01); B60W 60/001 (2020.02); G01S 7/003 (2013.01); G01S 7/40 (2013.01); G01S 13/86 (2013.01); G01S 13/89 (2013.01); G01S 13/931 (2013.01); G01S 17/04 (2020.01); G01S 17/931 (2020.01); G06T 7/73 (2017.01); G06V 10/26 (2022.01); G06V 10/28 (2022.01); B60W 2420/408 (2024.01); G01S 2013/9316 (2020.01); G06T 2207/10044 (2013.01); G06T 2207/30252 (2013.01);
Abstract

Embodiments of the present disclosure relate to generating RADAR (RAdio Detection And Ranging) point clouds based on RADAR data obtained from one or more RADAR sensors disposed on one or more ego-machines. In these or other embodiments, the RADAR point clouds may be used to generate map data. Additionally or alternatively, the RADAR point clouds may be used for performing localization.

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