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. 05, 2023

Filed:

Nov. 19, 2019
Applicant:

Toyota Research Institute, Inc., Los Altos, CA (US);

Inventors:

Carrie Bobier-Tiu, Sunnyvale, CA (US);

Avinash Balachandran, Sunnyvale, CA (US);

Assignee:

TOYOTA RESEARCH INSTITUTE, INC., Los Altos, CA (US);

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
B60W 50/08 (2020.01); B60W 30/18 (2012.01); B60W 50/00 (2006.01); B60W 40/08 (2012.01);
U.S. Cl.
CPC ...
B60W 50/08 (2013.01); B60W 30/18 (2013.01); B60W 40/08 (2013.01); B60W 50/0097 (2013.01); B60W 2400/00 (2013.01);
Abstract

Systems and methods of a vehicle for partially controlling operation of a vehicle based on operational constraints of the vehicle and/or contextual constraints of the vehicle are disclosed. Exemplary implementations may: generate output signals conveying operational information regarding the vehicle; generate output signals conveying contextual information regarding the vehicle; determine, based on the output signals, the operational information; determine, based on the output signals, the contextual information; determine, based on the operational information and/or the contextual information, a current vehicle state of the vehicle; determine, based on the current vehicle state of the vehicle, a future vehicle state; determine, based on the operational information, predicted boundaries of the operational information; determine, based on the operational information and contextual information, trajectory threshold values of trajectory metric; and control the vehicle partially, based on the future vehicle states determined, the predicted boundaries, and the trajectory threshold values.


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