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. 26, 2025

Filed:

Jul. 07, 2022
Applicants:

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

Massachusetts Institue of Technology, Cambridge, MA (US);

Inventors:

Xiangru Huang, Quincy, MA (US);

Yue Wang, Cambridge, MA (US);

Vitor Guizilini, Santa Clara, CA (US);

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

Adrien David Gaidon, San Jose, CA (US);

Justin Solomon, Somerville, MA (US);

Assignees:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 20/00 (2022.01); B60W 60/00 (2020.01); G06V 20/58 (2022.01);
U.S. Cl.
CPC ...
B60W 60/001 (2020.02); G06V 20/58 (2022.01); B60W 2420/403 (2013.01); B60W 2420/408 (2024.01); B60W 2554/4049 (2020.02);
Abstract

A method of representation learning for object detection from unlabeled point cloud sequences is described. The method includes detecting moving object traces from temporally-ordered, unlabeled point cloud sequences. The method also includes extracting a set of moving objects based on the moving object traces detected from the sequence of temporally-ordered, unlabeled point cloud sequences. The method further includes classifying the set of moving objects extracted from on the moving object traces detected from the sequence of temporally-ordered, unlabeled point cloud sequences. The method also includes estimating 3D bounding boxes for the set of moving objects based on the classifying of the set of moving objects.


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