NVIDIA Corporation
AUTONOMOUS VEHICLE SIMULATION USING MACHINE LEARNING

Abstract:

In an embodiment, a system calculates a distribution of possible parameters for a simulation that cause the simulation to match a measured behavior in the real world. In an embodiment, the system selects a plurality of simulation parameters based on a statistical distribution that represents an initial estimate of possible parameter values. In an embodiment, using the results produced by the simulation, an updated distribution of possible parameters is constructed based on a density of the results modeled using Fourier features. In an embodiment, the updated distribution of possible parameters can be used to select a particular set of parameters for the simulation, which cause the simulator approximate the measured behavior.