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:
Feb. 17, 2026

Filed:

Jun. 28, 2024
Applicant:

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

Inventors:

Michael Carsten Bosse, Templeton, CA (US);

Jackson Owen Waschura, Mountain View, CA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
B60W 60/00 (2020.01); G01S 13/86 (2006.01); G01S 17/89 (2020.01); G06T 7/20 (2017.01); G06V 10/44 (2022.01);
U.S. Cl.
CPC ...
B60W 60/001 (2020.02); G01S 13/865 (2013.01); G01S 13/867 (2013.01); G01S 17/89 (2013.01); G06T 7/20 (2013.01); G06V 10/44 (2022.01); G06V 2201/07 (2022.01);
Abstract

Detecting, tracking, and/or predicting a future state of an object may include encoding spatiotemporal data associated with sensors that generate sensor data used to detect, track, and predict future state data of the object. A first machine-learned model may generate an embedding for a subset of sensor data associated with a ray emanating from a sensor and the embedding may be encoded with spatial characteristics of the sensor that received the subset and a time at which the subset was received. This and other spatiotemporally-encoded embeddings may be used by a second machine-learned model to determine an aggregated embedding that may be used for object detection, tracking, and/or prediction.


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