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:
May. 27, 2025

Filed:

Dec. 06, 2021
Applicants:

Toyota Research Institute, Inc., Los Altos, CA (US);

The Board of Trustees of the Leland Stanford Junior University, Stanford, CA (US);

Inventors:

Rares Andrei Ambrus, San Francisco, CA (US);

Or Litany, Sunnyvale, CA (US);

Vitor Guizilini, Santa Clara, CA (US);

Leonidas Guibas, Palo Alto, CA (US);

Adrien David Gaidon, Mountain View, CA (US);

Jie Li, San Jose, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06V 20/64 (2022.01); G06T 7/50 (2017.01); G06V 20/56 (2022.01);
U.S. Cl.
CPC ...
G06V 20/64 (2022.01); G06T 7/50 (2017.01); G06V 20/56 (2022.01); G06T 2207/20081 (2013.01); G06T 2207/30252 (2013.01);
Abstract

A method for 3D object detection is described. The method includes concurrently training a monocular depth network and a 3D object detection network. The method also includes predicting, using a trained monocular depth network, a monocular depth map of a monocular image of a video stream. The method further includes inferring a 3D point cloud of a 3D object within the monocular image according to the predicted monocular depth map. The method also includes predicting 3D bounding boxes from a selection of 3D points from the 3D point cloud of the 3D object based on a selection regression loss.


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