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. 24, 2025

Filed:

Feb. 21, 2020
Applicant:

Toyota Motor Europe, Brussels, BE;

Inventors:

Sven Meier, Brussels, BE;

Norimasa Kobori, Brussels, BE;

Luca Minciullo, Brussels, BE;

Kei Yoshikawa, Brussels, BE;

Fabian Manhardt, Munich, DE;

Manuel Nickel, Munich, DE;

Nassir Navab, Munich, DE;

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06T 7/73 (2017.01); B60W 10/04 (2006.01); B60W 10/18 (2012.01); B60W 10/20 (2006.01); B60W 30/09 (2012.01); B60W 60/00 (2020.01); G05D 3/12 (2006.01); G06T 1/00 (2006.01); G06T 7/50 (2017.01); G06T 17/20 (2006.01); G06V 10/25 (2022.01); G06V 10/26 (2022.01); G06V 10/764 (2022.01); G06V 10/766 (2022.01); G06V 10/77 (2022.01); G06V 10/82 (2022.01); G08G 1/16 (2006.01);
U.S. Cl.
CPC ...
G06T 7/73 (2017.01); B60W 10/04 (2013.01); B60W 10/18 (2013.01); B60W 10/20 (2013.01); B60W 30/09 (2013.01); B60W 60/0015 (2020.02); G05D 3/12 (2013.01); G06T 1/0014 (2013.01); G06T 7/50 (2017.01); G06T 17/205 (2013.01); G06V 10/25 (2022.01); G06V 10/267 (2022.01); G06V 10/764 (2022.01); G06V 10/766 (2022.01); G06V 10/7715 (2022.01); G06V 10/82 (2022.01); G08G 1/165 (2013.01); G08G 1/166 (2013.01); B60W 2420/403 (2013.01); B60W 2554/20 (2020.02); B60W 2554/4029 (2020.02); G06T 2200/08 (2013.01); G06T 2207/10024 (2013.01); G06T 2207/10028 (2013.01); G06T 2207/20068 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30252 (2013.01);
Abstract

A computer-implemented method of estimating a 6D pose and shape of one or more objects from a 2D image, comprises the steps of: detecting, within the 2D image, one or more 2D regions of interest, each 2D region of interest containing a corresponding object among the one of more objects; cropping out a corresponding pixel value array, coordinate tensor, and feature map for each 2D region of interest; concatenating the corresponding pixel value array, coordinate tensor, and feature map for each 2D region of interest; and inferring, for each 2D region of interest, a 4D quaternion describing a rotation of the corresponding object in the 3D rotation group, a 2D centroid, which is a projection of a 3D translation of the corresponding object onto a plane of the 2D image given a camera matrix associated to the 2D image, a distance from a viewpoint of the 2D image to the corresponding object, a size, and a class-specific latent shape vector of the corresponding object.


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