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:
Nov. 12, 2024

Filed:

May. 10, 2021
Applicant:

Waymo Llc, Mountain View, CA (US);

Inventors:

Vishu Goyal, Mountain View, CA (US);

Kai Ding, Santa Clara, CA (US);

Yang Wang, Foster City, CA (US);

Assignee:

Waymo LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
B60W 60/00 (2020.01); G05D 1/00 (2024.01); G06N 5/02 (2023.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
B60W 60/0027 (2020.02); G05D 1/0214 (2013.01); G05D 1/0221 (2013.01); G05D 1/0231 (2013.01); G06N 5/02 (2013.01); G06N 20/00 (2019.01); B60W 2420/403 (2013.01); B60W 2552/10 (2020.02); B60W 2554/4026 (2020.02); B60W 2554/4029 (2020.02); B60W 2554/4041 (2020.02); B60W 2554/4044 (2020.02);
Abstract

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for predicting near-curb driving behavior. One of the methods includes obtaining agent trajectory data for an agent in an environment, the agent trajectory data comprising a current location and current values for a predetermined set of motion parameters of the agent; processing a model input generated from the agent trajectory data using a trained machine learning model to generate a model output comprising a prediction of whether the agent will exhibit near-curb driving behavior within a predetermined timeframe, wherein an agent exhibits near-curb driving behavior when the agent operates within a particular distance of an edge of a road in the environment; and using the prediction to generate a planned path for a vehicle in the environment.


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