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:
Aug. 27, 2024

Filed:

Sep. 30, 2021
Applicant:

Waymo Llc, Mountain View, CA (US);

Inventors:

Jonathan Lee Pedersen, Brooklyn, NY (US);

Yu Zheng, Milpitas, CA (US);

Eamonn Michael Doherty, Mountain View, CA (US);

Brian Clair Williammee, Santa Cruz, CA (US);

Kevin Joseph Malta, San Francisco, CA (US);

Chung Eun Kim, San Mateo, CA (US);

Xu Dong, Sunnyvale, CA (US);

Assignee:

Waymo LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
B60W 60/00 (2020.01); B60W 30/18 (2012.01); B60W 40/06 (2012.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
B60W 60/0016 (2020.02); B60W 30/181 (2013.01); B60W 40/06 (2013.01); G06N 20/00 (2019.01); B60W 2552/45 (2020.02); B60W 2555/60 (2020.02);
Abstract

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for selecting a pull-over location using machine learning. One of the methods includes obtaining data specifying a target pull-over location for an autonomous vehicle travelling on a roadway. A plurality of candidate pull-over locations in a vicinity of the target pull-over location are identified. For each candidate pull-over location, an input that includes features of the candidate pull-over location is processed using a machine learning model to generate a respective likelihood score representing a predicted likelihood that the candidate pull-over location is an optimal location. The features of the candidate pull-over location include one or more features that compare the candidate pull-over location to the target pull-over location. Using the respective likelihood scores, one of the candidate pull-over locations is selected as an actual pull-over location for the autonomous vehicle.


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