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.:
Date of Patent:
Sep. 30, 2025
Filed:
Jan. 26, 2021
Applicant:
Nvidia Corporation, Santa Clara, CA (US);
Inventors:
Eric Kangning Zhang, Plano, TX (US);
Zoran Nikolic, Sugarland, TX (US);
Branislav Kisacanin, Plano, TX (US);
Eric Viscito, Shelburne, VT (US);
Assignee:
NVIDIA Corporation, Santa Ana, CA (US);
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 18/21 (2023.01); A01B 69/00 (2006.01); A01C 21/00 (2006.01); A01G 25/09 (2006.01); A01G 25/16 (2006.01); A01M 21/00 (2006.01); B60W 10/04 (2006.01); B60W 10/18 (2012.01); B60W 30/09 (2012.01); B60W 30/095 (2012.01); B60W 50/14 (2020.01); B60W 60/00 (2020.01); G06F 18/24 (2023.01); G06N 3/04 (2023.01); G06N 3/08 (2023.01); G06V 20/13 (2022.01); G06V 20/56 (2022.01); G16H 40/67 (2018.01);
U.S. Cl.
CPC ...
G06F 18/217 (2023.01); A01B 69/001 (2013.01); A01C 21/005 (2013.01); A01G 25/09 (2013.01); A01G 25/16 (2013.01); A01M 21/00 (2013.01); B60W 10/04 (2013.01); B60W 10/18 (2013.01); B60W 30/09 (2013.01); B60W 30/0956 (2013.01); B60W 50/14 (2013.01); B60W 60/0015 (2020.02); G06F 18/2163 (2023.01); G06F 18/24 (2023.01); G06N 3/04 (2013.01); G06N 3/08 (2013.01); G06V 20/13 (2022.01); G06V 20/56 (2022.01); G16H 40/67 (2018.01); B60W 2420/40 (2013.01); B60W 2556/45 (2020.02); G06V 2201/03 (2022.01);
Abstract
Apparatuses, systems, and techniques to generate one or more confidence values associated with one or more objects identified by one or more neural networks. In at least one embodiment, one or more confidence values associated with one or more objects identified by one or more neural networks are generated based on, for example, one or more neural network outputs.