VEHICLE PATH PLANNING

Patent №

US 11,465,617

Granted

2022-10-11

Filed 2019

Owner

FORD GLOBAL TECHNOLOGIES, LLC

Lab

AI components

4

ml · vision · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16687956

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.

Machine learningVisionPlanningAI hardwareB60W 30/09G08G 1/0112B60W 30/0956G05D 1/0088G05D 1/0276G08G 1/0116G08G 1/096725G08G 1/096811+2 more

AI classification

Planning1.00
Machine learning1.00
AI hardware0.99
Vision0.96
Knowledge representation0.50
Evolutionary computation0.01
Natural language0.00
Speech0.00

Ownership

FORD GLOBAL TECHNOLOGIES, LLC

assignment · 510510407

Assignors

XU, XUNNONG, GUO, WEN, DAI, QI, HUANG, SUZHOU, FILEV, DIMITAR PETROV

On an employer assignment, the assignors are typically the inventors.

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