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. 12, 2025

Filed:

Jan. 21, 2022
Applicant:

Zoox, Inc., Foster City, CA (US);

Inventors:

Michael Carsten Bosse, Templeton, CA (US);

Gerry Chen, Atlanta, GA (US);

Subhasis Das, Menlo Park, CA (US);

Francesco Papi, Sunnyvale, CA (US);

Zachary Sun, San Francisco, CA (US);

Assignee:

Zoox, Inc., Foster City, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06V 10/774 (2022.01); B60W 60/00 (2020.01); G05B 13/02 (2006.01); G06T 7/20 (2017.01); G06T 7/70 (2017.01); G06V 10/764 (2022.01); G06V 10/94 (2022.01); G06V 20/58 (2022.01); G06V 20/70 (2022.01);
U.S. Cl.
CPC ...
G06V 10/774 (2022.01); B60W 60/0027 (2020.02); G05B 13/0265 (2013.01); G06T 7/20 (2013.01); G06T 7/70 (2017.01); G06V 10/764 (2022.01); G06V 10/945 (2022.01); G06V 20/58 (2022.01); G06V 20/70 (2022.01); B60W 2540/215 (2020.02); B60W 2554/4041 (2020.02); B60W 2554/4042 (2020.02); B60W 2554/4043 (2020.02); B60W 2554/4044 (2020.02); G06T 2200/24 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30252 (2013.01);
Abstract

A computer-implemented method. Includes determining an estimate of a state of an object detected at a first time step, based on a pointwise estimate of the state of the object at the first time step and pointwise measurements of the state of the object at a plurality of further time steps. Includes generating, using the estimate of the state of the object, a proposed annotation associated with the object at the first time step. Includes rendering, via a user interface, a visual representation of the environment at the first time step and a visual representation of the proposed annotation. Includes receiving, via the user interface, user input indicating a user-approved annotation associated with the object at the first time step. Includes generating training data for a machine learning model for use in controlling an autonomous vehicle, based at least in part on the user-approved annotation.


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