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. 14, 2023

Filed:

Nov. 01, 2019
Applicant:

Ghost Autonomy Inc., Mountain View, CA (US);

Inventors:

John Hayes, Mountain View, CA (US);

Volkmar Uhlig, Cupertino, CA (US);

Akash J. Sagar, Redwood City, CA (US);

Nima Soltani, Los Altos, CA (US);

Feng Tian, Foster City, CA (US);

Assignee:

GHOST AUTONOMY INC., Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
B60W 60/00 (2020.01); B60W 50/00 (2006.01); G05D 1/02 (2020.01); B60R 11/04 (2006.01); G06N 20/00 (2019.01); G06V 20/56 (2022.01);
U.S. Cl.
CPC ...
B60W 60/00272 (2020.02); B60R 11/04 (2013.01); B60W 50/0097 (2013.01); G05D 1/0221 (2013.01); G06N 20/00 (2019.01); G06V 20/56 (2022.01); B60R 2300/804 (2013.01); B60R 2300/8086 (2013.01);
Abstract

Detecting out-of-model scenarios for an autonomous vehicle including: determining, based on first sensor data from one or more sensors, an environmental state relative to the autonomous vehicle, wherein operational commands for the autonomous vehicle are based on a selected machine learning model, wherein the selected machine learning model comprises a first machine learning model; comparing the environmental state to a predicted environmental state relative to the autonomous vehicle; and determining, based on a differential between the environmental state and the predicted environmental state, whether to select a second machine learning model as the selected machine learning model.


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