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:
Jun. 18, 2024

Filed:

Oct. 28, 2021
Applicant:

Toyota Motor Engineering & Manufacturing North America, Inc., Plano, TX (US);

Inventors:

Yongkang Liu, Plano, TX (US);

Xuewei Qi, Mountain View, CA (US);

Kentaro Oguchi, Mountain View, CA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/73 (2017.01); G01C 21/00 (2006.01); G06F 18/214 (2023.01); G06F 18/24 (2023.01); G06N 3/045 (2023.01); G06T 3/00 (2006.01); G06T 3/40 (2006.01); G06V 10/22 (2022.01); G06V 10/44 (2022.01); G06V 10/94 (2022.01); G06V 20/56 (2022.01);
U.S. Cl.
CPC ...
G06T 7/75 (2017.01); G01C 21/3807 (2020.08); G06F 18/214 (2023.01); G06F 18/24 (2023.01); G06N 3/045 (2023.01); G06T 3/0062 (2013.01); G06T 3/40 (2013.01); G06V 10/225 (2022.01); G06V 10/44 (2022.01); G06V 10/95 (2022.01); G06V 20/56 (2022.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30236 (2013.01); G06T 2207/30252 (2013.01); G06V 2201/08 (2022.01);
Abstract

System, methods, and other embodiments detecting and localizing objects within an image in a wide-view format using a synthetic representation. The method includes converting a real image in a wide-view format to a synthetic representation using a style model, wherein the synthetic representation depicts a distorted view of an object. The method also includes identifying features of the object using an extraction model that distinguishes different scales of the synthetic representation and a simulated scene to define structures associated with the distorted view. The method also includes detecting the object using a decoder model that identifies an attribute and a bounding box of the object from the features. The method also includes executing a task using the attribute and the bounding box to localize the object in the simulated scene.


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