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. 07, 2025

Filed:

Dec. 17, 2021
Applicant:

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

Inventors:

Jonathan Tyler Dowdall, San Francisco, CA (US);

Kratarth Goel, Albany, CA (US);

Adam Edward Pollack, San Francisco, CA (US);

Scott M. Purdy, Lake Forest Park, WA (US);

Assignee:

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

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06V 20/56 (2022.01); B60W 60/00 (2020.01); G01S 7/48 (2006.01); G01S 17/87 (2020.01); G06T 7/11 (2017.01); G06T 7/50 (2017.01); G06V 10/22 (2022.01); G06V 10/764 (2022.01); G06V 10/774 (2022.01); G06V 10/80 (2022.01);
U.S. Cl.
CPC ...
G06V 20/56 (2022.01); B60W 60/0015 (2020.02); G01S 7/4802 (2013.01); G01S 17/87 (2013.01); G06T 7/11 (2017.01); G06T 7/50 (2017.01); G06V 10/225 (2022.01); G06V 10/764 (2022.01); G06V 10/774 (2022.01); G06V 10/803 (2022.01); B60W 2420/403 (2013.01); B60W 2420/408 (2024.01); B60W 2554/4029 (2020.02); G06T 2207/20081 (2013.01); G06T 2207/20132 (2013.01); G06T 2207/30252 (2013.01);
Abstract

Techniques for refining an image-based bounding box with depth data from a lidar sensor to represent an object in an environment of a vehicle are discussed herein. A vehicle computing device can implement a model to determine a three-dimensional bounding box based on image data. The vehicle computing device can implement a same of different model to update the three-dimensional bounding box based at least in part on depth information associated with lidar data. The techniques can also include training one or more machine learned models to determine three-dimensional bounding boxes usable by a vehicle to navigate in the environment.


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