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:
Dec. 06, 2022

Filed:

May. 31, 2022
Applicant:

Waymo Llc, Mountain View, CA (US);

Inventors:

Xin Zhou, Novi, MI (US);

Roshni Cooper, Cupertino, CA (US);

Michael James, Northville, MI (US);

Assignee:

Waymo LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2006.01); G06N 5/00 (2006.01); G06N 20/00 (2019.01); B60W 40/06 (2012.01); B60W 60/00 (2020.01); G05D 1/02 (2020.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); B60W 40/06 (2013.01); B60W 60/0015 (2020.02); G05D 1/0231 (2013.01); G05D 1/0255 (2013.01); G05D 1/0257 (2013.01); G06N 3/08 (2013.01); B60W 2420/42 (2013.01); B60W 2420/52 (2013.01); B60W 2420/54 (2013.01); B60W 2555/20 (2020.02); G05D 2201/0213 (2013.01);
Abstract

The technology relates to using on-board sensor data, off-board information and a deep learning model to classify road wetness and/or to perform a regression analysis on road wetness based on a set of input information. Such information includes on-board and/or off-board signals obtained from one or more sources including on-board perception sensors, other on-board modules, external weather measurement, external weather services, etc. The ground truth includes measurements of water film thickness and/or ice coverage on road surfaces. The ground truth, on-board and off-board signals are used to build the model. The constructed model can be deployed in autonomous vehicles for classifying/regressing the road wetness with on-board and/or off-board signals as the input, without referring to the ground truth. The model can be applied in a variety of ways to enhance autonomous vehicle operation, for instance by altering current driving actions, modifying planned routes or trajectories, activating on-board cleaning systems, etc.


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