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:
Mar. 17, 2026

Filed:

Jun. 06, 2023
Applicant:

GM Global Technology Operations Llc, Detroit, MI (US);

Inventors:

Manoj Sharma, Troy, MI (US);

Joseph F. Szczerba, Grand Blanc, MI (US);

Akilesh Rajavenkatanarayanan, Macomb, MI (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 20/58 (2022.01); B60R 1/23 (2022.01); G02B 27/01 (2006.01); G06N 3/0464 (2023.01); G06N 3/084 (2023.01); G06T 5/70 (2024.01); G06T 7/10 (2017.01); G06T 7/70 (2017.01); G06T 11/00 (2006.01); G06V 10/774 (2022.01); G02B 5/20 (2006.01); G02B 13/00 (2006.01); G02B 27/14 (2006.01);
U.S. Cl.
CPC ...
G06V 20/58 (2022.01); B60R 1/23 (2022.01); G02B 27/0101 (2013.01); G02B 27/0179 (2013.01); G06N 3/0464 (2023.01); G06N 3/084 (2013.01); G06T 5/70 (2024.01); G06T 7/10 (2017.01); G06T 7/70 (2017.01); G06T 11/00 (2013.01); G06V 10/774 (2022.01); B60R 2300/303 (2013.01); B60R 2300/307 (2013.01); G02B 5/205 (2013.01); G02B 13/0095 (2013.01); G02B 2027/0118 (2013.01); G02B 2027/0138 (2013.01); G02B 2027/0141 (2013.01); G02B 2027/0181 (2013.01); G02B 27/144 (2013.01); G06T 2207/10144 (2013.01); G06T 2207/20021 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30252 (2013.01); G06T 2207/30268 (2013.01);
Abstract

A method for providing information to an occupant of a vehicle includes training a machine learning algorithm to receive a nighttime image as an input and produce an enhanced image as an output. The method also includes capturing the nighttime image of an environment surrounding the vehicle using a camera of the vehicle. The method also includes enhancing the nighttime image using the machine learning algorithm to produce the enhanced image. The method also includes identifying an object of interest in the enhanced image using a computer vision algorithm. The method also includes notifying the occupant of the vehicle about the object of interest.


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