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:
Jul. 28, 2026

Filed:

Oct. 31, 2023
Applicant:

Waymo Llc, Mountain View, CA (US);

Inventor:

Khaled Refaat, Mountain View, CA (US);

Assignee:

Waymo LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
B60W 60/00 (2020.01); B60W 40/04 (2006.01); G06V 20/58 (2022.01);
U.S. Cl.
CPC ...
B60W 60/0027 (2020.02); B60W 40/04 (2013.01); B60W 60/0015 (2020.02); G06V 20/58 (2022.01); B60W 2420/403 (2013.01); B60W 2554/4041 (2020.02); B60W 2554/4044 (2020.02); B60W 2554/80 (2020.02);
Abstract

The described aspects and implementations enable efficient utilization of multiple machine learning (ML) models with autonomous vehicles (AVs) to quickly and efficiently determine trajectory information of objects in a driving environment. During a time interval, a perception system of an AV generates, using a first ML model, an embedding based on data that characterizes an object's trajectory in the driving environment. At each sub-interval of multiple sub-intervals during the time interval, a second ML model uses the embedding to generate a probability distribution for the trajectory of the object, and a planning system of the AV generates an update to the AV's trajectory based on the probability distribution.


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