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:
Apr. 09, 2024

Filed:

Feb. 07, 2022
Applicant:

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

Inventors:

Wei Tong, Troy, MI (US);

Siddhartha Gupta, Rochester Hills, MI (US);

Jacob Alan Bond, Rochester Hills, MI (US);

Zhuoning Yuan, Iowa City, IA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 20/00 (2022.01); B60W 40/04 (2006.01); B60W 60/00 (2020.01); G06V 10/40 (2022.01); G06V 10/74 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 20/58 (2022.01);
U.S. Cl.
CPC ...
G06V 20/58 (2022.01); B60W 40/04 (2013.01); B60W 60/001 (2020.02); G06V 10/40 (2022.01); G06V 10/761 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); B60W 2420/403 (2013.01); B60W 2554/4026 (2020.02); B60W 2554/4029 (2020.02);
Abstract

An automated driving system includes an object detection system. A neural network image encoder generates image embeddings associated with an image including an object. A neural network text encoder generates concept embeddings associated with each of a plurality of concepts. Each of the plurality of concepts is associated with one of at least two object classes. A confidence score module generates a confidence score for each of the plurality of concepts based on the image embeddings and the concept embeddings associated with the concept. An object class prediction module generates a predicted object class of the object based on an association between a set of concepts of the plurality of concepts having at least two of the highest values of the generated confidence scores and the one of the at least two object classes associated with a majority of the set of concepts.


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