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:
Oct. 21, 2025

Filed:

Jan. 19, 2024
Applicant:

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

Inventors:

Subhasis Das, San Mateo, CA (US);

Chuang Wang, Woodside, CA (US);

Sabeek Mani Pradhan, Redwood City, CA (US);

Assignee:

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

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G01S 17/89 (2020.01); B60W 60/00 (2020.01); G01C 21/34 (2006.01); G01S 7/00 (2006.01); G01S 17/42 (2006.01); G01S 17/58 (2006.01); G01S 17/86 (2020.01); G01S 17/931 (2020.01); G01S 19/39 (2010.01); G05D 1/00 (2024.01); G06N 3/0455 (2023.01); G06N 3/0464 (2023.01); G06N 3/047 (2023.01); G06N 3/0475 (2023.01); G06N 3/084 (2023.01); G06N 5/01 (2023.01); G06N 7/01 (2023.01); G06N 20/00 (2019.01); G06N 20/10 (2019.01); G06N 20/20 (2019.01);
U.S. Cl.
CPC ...
G01S 17/89 (2013.01); B60W 60/00272 (2020.02); G01C 21/3492 (2013.01); G01S 7/003 (2013.01); G01S 17/42 (2013.01); G01S 17/58 (2013.01); G01S 17/86 (2020.01); G01S 19/393 (2019.08); G05D 1/0221 (2013.01); G05D 1/0223 (2013.01); G06N 3/0464 (2023.01); G06N 20/00 (2019.01); B60W 2420/408 (2024.01); G01C 21/343 (2013.01); G01S 17/931 (2020.01); G06N 3/0455 (2023.01); G06N 3/047 (2023.01); G06N 3/0475 (2023.01); G06N 3/084 (2013.01); G06N 5/01 (2023.01); G06N 7/01 (2023.01); G06N 20/10 (2019.01); G06N 20/20 (2019.01);
Abstract

Techniques for updating data operations in a perception system are discussed herein. A vehicle may use a perception system to capture data about an environment proximate to the vehicle. The perception system may receive image data, lidar data, and/or radar data to determine information about an object in the environment. As different sensors may be associated with different time periods for capturing and/or processing operations, the techniques include updating object data with data from sensors associated with a shorter time period to generate intermediate object data. Such intermediate object data may reduce a delay in updating a position of an object in an environment.


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