Patent ID: 11938957
Assignee: MOTIONAL AD LLC
Field: Computer technology (Electrical engineering)
Classification: CPC B  G | IPC B  G

Claim 0:
1. A method comprising:
assigning, using at least one processor, a set of initial physical states to a set of objects for a set of simulated driving scenarios;
generating, using the at least one processor, the set of simulated driving scenarios using the initial physical states of the objects in the set of objects;
determining, using the at least one processor, one or more failed driving scenarios in the set of simulated driving scenarios;
excluding, using the at least one processor, the one or more failed driving scenarios from the set of simulated driving scenarios, wherein the one or more failed driving scenarios comprise a driving scenario where acceleration or deceleration values of one or more objects in the set of objects are higher or lower than one or more specified threshold values;
training, using the at least one processor, a machine learning model using first samples of the set of simulated driving scenarios;
obtaining, using the at least one processor, tuning data comprising second samples of the set of simulated driving scenarios;
tuning, using the at least one processor, the trained machine learning model with the tuning data;
optimizing, using the at least one processor, a loss function of predictions output by the tuned machine learning model; and
causing, using the at least one processor, a vehicle to operate in an environment using the tuned machine learning model.