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. 23, 2026

Filed:

Apr. 18, 2023
Applicants:

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

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

Inventors:

Prafull Sharma, Cambridge, MA (US);

Ayush Tewari, Cambridge, MA (US);

Yilun Du, Cambridge, MA (US);

Sergey Zakharov, San Francisco, CA (US);

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

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

William Tafel Freeman, Acton, MA (US);

Frederic Pierre Durand, Somerville, MA (US);

Joshua B. Tenenbaum, Cambridge, MA (US);

Vincent Sitzmann, Cambridge, MA (US);

Assignees:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06V 10/44 (2022.01); G01C 21/34 (2006.01); G06T 3/40 (2024.01); G06T 7/50 (2017.01); G06V 10/25 (2022.01);
U.S. Cl.
CPC ...
G06V 10/44 (2022.01); G01C 21/3407 (2013.01); G06T 3/40 (2013.01); G06T 7/50 (2017.01); G06V 10/25 (2022.01); G06T 2207/20084 (2013.01); G06T 2207/30252 (2013.01);
Abstract

A method of conditional neural ground planes for static-dynamic disentanglement is described. The method includes extracting, using a convolutional neural network (CNN), CNN image features from an image to form a feature tensor. The method also includes resampling unprojected 2D features of the feature tensor to form feature pillars. The method further includes aggregating the feature pillars to form an entangled neural ground plane. The method also includes decomposing the entangled neural ground plane into a static neural ground plane and a dynamic neural ground plane.


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