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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.

Patent No.:

US 12417549 B1

PDFFull Text
Date of Patent:
Sep. 16, 2025

Filed:

Aug. 12, 2022

Vanishing point determination, symmetry-based boundary refinement, and component detection for vehicle object detection or other applications

Applicant:

Canoo Technologies Inc., Torrance, CA (US);

Inventors:

Dae Jin Kim, Rancho Palos Verdes, CA (US);

David R. Arft, Torrance, CA (US);

Jongmoo Choi, Gardena, CA (US);

Assignee:

CANOO TECHNOLOGIES INC., Torrence, CA (US);

Attorney:

ALLEN, DYER, DOPPELT, GILCHRIST, P.A.

Primary Examiner:

Delomia L Gilliard

Int. Cl.
CPC ...
G06T 7/536 (2017.01); B60W 10/18 (2012.01); B60W 10/20 (2006.01); B60W 50/00 (2006.01); B60W 50/14 (2020.01); B60W 50/16 (2020.01); B60W 60/00 (2020.01); G06T 7/68 (2017.01); G06T 7/73 (2017.01); G06V 20/56 (2022.01); G06V 20/58 (2022.01); G06V 20/62 (2022.01);
U.S. Cl.
CPC ...
G06T 7/536 (2017.01); B60W 10/18 (2013.01); B60W 10/20 (2013.01); B60W 50/14 (2013.01); B60W 50/16 (2013.01); G06T 7/68 (2017.01); G06T 7/73 (2017.01); G06V 20/56 (2022.01); G06V 20/58 (2022.01); G06V 20/625 (2022.01); B60W 2050/0004 (2013.01); B60W 2050/143 (2013.01); B60W 2050/146 (2013.01); B60W 60/001 (2020.02); B60W 2420/403 (2013.01); B60W 2552/50 (2020.02); B60W 2554/20 (2020.02); B60W 2710/18 (2013.01); B60W 2710/20 (2013.01); B60W 2720/10 (2013.01); B60W 2720/106 (2013.01); G06T 2207/30252 (2013.01);
Abstract

A method includes obtaining, using at least one processing device, a vanishing point and a boundary based on image data associated with a scene, where the boundary is associated with a detected object within the scene. The method also includes repeatedly, during multiple iterations and using the at least one processing device, (i) identifying multiple patches within the boundary and (ii) determining a similarity of the image data contained within the multiple patches. The method further includes identifying, using the at least one processing device, a modification to be applied to the boundary based on the identified patches and the determined similarities. In addition, the method includes generating, using the at least one processing device, a refined boundary based on the modification, where the refined boundary identifies a specified portion of the detected object.

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