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:
Oct. 11, 2022

Filed:

Nov. 19, 2019
Applicant:

Ford Global Technologies, Llc, Dearborn, MI (US);

Inventors:

Xunnong Xu, Ann Arbor, MI (US);

Wen Guo, Dearborn, MI (US);

Qi Dai, Dearborn, MI (US);

Suzhou Huang, Ann Arbor, MI (US);

Dimitar Petrov Filev, Novi, MI (US);

Assignee:

FORD GLOBAL TECHNOLOGIES, LLC, Dearborn, MI (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
B60W 30/09 (2012.01); B60W 30/095 (2012.01); G05D 1/02 (2020.01); G05D 1/00 (2006.01);
U.S. Cl.
CPC ...
B60W 30/09 (2013.01); B60W 30/0956 (2013.01); G05D 1/0088 (2013.01); G05D 1/0276 (2013.01); B60W 2554/80 (2020.02); B60W 2556/45 (2020.02); G05D 2201/0213 (2013.01);
Abstract

A computer, including a processor and a memory, the memory including instructions to be executed by the processor to determine optimal vehicle actions based on a modified version of a Nash equilibrium solution to a multiple agent game, wherein the Nash equilibrium solution is modified by performing an adaptive grid search optimization technique based on calculating rewards and penalties for the agents to determine optimal vehicle actions, wherein the agents include one or more of autonomous vehicles, non-autonomous vehicles, stationary objects, and non-stationary objects including pedestrians and wherein the rewards and the penalties for the agents are determined by simulating behavior of the agents to determine possible future states for the agents to determine the optimal vehicle actions. The instructions can include further instructions to determine a vehicle path based on the optimal vehicle actions and download the vehicle path to the vehicle.


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