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:
Oct. 07, 2025

Filed:

Dec. 12, 2023
Applicant:

Nvidia Corporation, Santa Clara, CA (US);

Inventors:

Sayed Mehdi Sajjadi Mohammadabadi, Santa Clara, CA (US);

Berta Rodriguez Hervas, Santa Clara, CA (US);

Hang Dou, Fremont, CA (US);

Igor Tryndin, Fremont, CA (US);

David Nister, Belleview, WA (US);

Minwoo Park, Saratoga, CA (US);

Neda Cvijetic, East Palo Alto, CA (US);

Junghyun Kwon, San Jose, CA (US);

Trung Pham, Santa Clara, CA (US);

Assignee:

NVIDIA Corporation, Santa Clara, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
B60W 30/18 (2012.01); B60W 30/09 (2012.01); B60W 30/095 (2012.01); B60W 60/00 (2020.01); G06N 3/08 (2023.01); G06V 10/25 (2022.01); G06V 10/75 (2022.01); G06V 10/764 (2022.01); G06V 10/80 (2022.01); G06V 10/82 (2022.01); G06V 20/56 (2022.01); G06V 20/70 (2022.01); G08G 1/01 (2006.01);
U.S. Cl.
CPC ...
B60W 30/18154 (2013.01); B60W 30/09 (2013.01); B60W 30/095 (2013.01); B60W 60/0011 (2020.02); G06N 3/08 (2013.01); G06V 10/25 (2022.01); G06V 10/751 (2022.01); G06V 10/764 (2022.01); G06V 10/803 (2022.01); G06V 10/82 (2022.01); G06V 20/56 (2022.01); G06V 20/588 (2022.01); G06V 20/70 (2022.01); G08G 1/0125 (2013.01);
Abstract

In various examples, live perception from sensors of a vehicle may be leveraged to detect and classify intersections in an environment of a vehicle in real-time or near real-time. For example, a deep neural network (DNN) may be trained to compute various outputs—such as bounding box coordinates for intersections, intersection coverage maps corresponding to the bounding boxes, intersection attributes, distances to intersections, and/or distance coverage maps associated with the intersections. The outputs may be decoded and/or post-processed to determine final locations of, distances to, and/or attributes of the detected intersections.


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