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:
Aug. 08, 2023

Filed:

Jun. 04, 2021
Applicant:

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

Inventors:

Praveen Narayanan, San Jose, CA (US);

Ramchandra Ganesh Karandikar, Palo Alto, CA (US);

Nikita Jaipuria, Union City, CA (US);

Punarjay Chakravarty, Campbell, CA (US);

Ganesh Kumar, Santa Clara, CA (US);

Assignee:

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

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2022.01); G06T 3/00 (2006.01); G06T 5/00 (2006.01); G06T 7/00 (2017.01); B60W 10/06 (2006.01); B60W 10/18 (2012.01); B60W 10/20 (2006.01); B60W 10/08 (2006.01); G05B 13/02 (2006.01); B60W 50/06 (2006.01);
U.S. Cl.
CPC ...
G06T 3/0018 (2013.01); B60W 10/06 (2013.01); B60W 10/08 (2013.01); B60W 10/18 (2013.01); B60W 10/20 (2013.01); B60W 50/06 (2013.01); G05B 13/027 (2013.01); G06T 5/006 (2013.01); G06T 7/0002 (2013.01); B60W 2420/42 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30252 (2013.01);
Abstract

A computer, including a processor and a memory, the memory including instructions to be executed by the processor to input a fisheye image to a vector quantized variational autoencoder. The vector quantized variational autoencoder can encode the fisheye image to first latent variables based on an encoder. The vector quantized variational autoencoder can quantize the first latent variables to generate second latent variables based on a dictionary of embeddings. The vector quantized variational autoencoder can decode the second latent variables to a rectified rectilinear image using a decoder and output the rectified rectilinear image.


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