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:
Sep. 23, 2025

Filed:

Jul. 27, 2023
Applicants:

Ford Global Technologies, Llc, Dearborn, MI (US);

The Regents of the University of Michigan, Ann Arbor, MI (US);

Inventors:

John Moore, Canton, MI (US);

Subhadip Ghosh, Rochester Hills, MI (US);

Ziwei Zeng, Canton, MI (US);

Junho Hong, Ann Arbor, MI (US);

Jaerock Kwon, Ann Arbor, MI (US);

Aydin Zaboli, Ann Arbor, MI (US);

Kuchan Park, Ann Arbor, MI (US);

Assignees:
Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/82 (2022.01); B60W 60/00 (2020.01); G06T 7/11 (2017.01); G06V 10/776 (2022.01); G06V 20/58 (2022.01); G06V 20/70 (2022.01); B60W 50/00 (2006.01);
U.S. Cl.
CPC ...
G06V 10/776 (2022.01); B60W 60/001 (2020.02); G06T 7/11 (2017.01); G06V 10/82 (2022.01); G06V 20/58 (2022.01); G06V 20/70 (2022.01); B60W 2050/0018 (2013.01); B60W 2420/403 (2013.01); B60W 2554/4029 (2020.02); B60W 2554/4044 (2020.02); G06T 2207/20021 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30252 (2013.01);
Abstract

A computer that includes a processor and a memory, the memory including instructions executable by the processor to input an image to a first neural network to generate a first detected object and input the image to a second neural network to generate a reconstructed image which is input to a third neural network to generate a second detected object. The image can be divided into portions and the portions input to respective fourth neural networks to generate portions of a third detected object. The first detected object, the second detected object, the portions of the third detected object, and context data can be input to a partially observable Markov decision process to generate a high confidence detected object.


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