Patent ID: 11868136
Assignee: WOVEN BY TOYOTA, U.S., INC.
Field: Control (Instruments)
Classification: CPC G  B | IPC G

Claim 0:
1. A method comprising, by a computing system associated with a vehicle:
identifying one or more first sets of model parameters that are predefined from a prior training associated with a first region which is a current location of the vehicle and configuring one or more machine-learning models with the one or more first sets of model parameters;
switching the one or more machine-learning models from the first sets of model parameters to one or more second sets of model parameters that are predefined from a prior training associated with a second region upon determining the current location is in the second region, wherein the one or more first sets of model parameters and the one or more second sets of model parameters are learned weights of the one or more machine learning models;
generating, using the one or more machine-learning models configured with the one or more second sets of model parameters, inferences based on sensor data generated by sensors of the vehicle when the vehicle is in the second region;
causing the vehicle to perform operations according to the inferences; and
dividing the second region into at least two subregions with new parameters when an assessed performance of the second sets of model parameters with the machine-learning models indicates performance below a minimum threshold.