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:
Sep. 16, 2025

Filed:

Apr. 07, 2023
Applicant:

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

Inventors:

Samir Parikh, Los Gatos, CA (US);

Gowtham Garimella, Hayward, CA (US);

Linjun Zhang, Foster City, CA (US);

Chunlei Dai, San Jose, CA (US);

Yousef Ali Emam, San Francisco, CA (US);

Kai Zhenyu Wang, Foster City, CA (US);

Woodrow Zhouyuan Wang, San Antonio, TX (US);

Benjamin Isaac Mattinson, San Francisco, CA (US);

Xiaobo Ren, Fremont, CA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
B60W 60/00 (2020.01); B60W 40/02 (2006.01); G06N 3/0464 (2023.01);
U.S. Cl.
CPC ...
B60W 60/0027 (2020.02); B60W 40/02 (2013.01); G06N 3/0464 (2023.01); B60W 2554/404 (2020.02); B60W 2554/4045 (2020.02);
Abstract

A machine-learned architecture for determining whether an object is relevant to a vehicle's action planning may comprise a convolutional neural network, graph neural network, and/or multi-layer perceptron that may determine a relevance score associated with an object that indicates indicating whether an object is likely to impact operation(s) of a vehicle. In some examples, the machine-learned architecture may use scene information and/or an object track to determine the relevance score.


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