US Patent:
20210146919, May 20, 2021
Inventors:
- Dearborn 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
International Classification:
B60W 30/09
B60W 30/095
G05D 1/02
G05D 1/00
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.