Patent ID: 11966673
Assignee: NVIDIA CORPORATION
Field: Measurement (Instruments)
Classification: CPC G | IPC G

Claim 14:
15. A method comprising:
training a virtual sensor model comprising a generative machine learning model to simulate a virtual sensor corresponding to at least one physical sensor, the generative machine learning model being trained to predict virtual sensor data for a second sensor installation location using training data comprising physical sensor data representative of a first sensor installation location prior to adding an encoder to the virtual sensor model to adapt the virtual sensor model to the second sensor installation location;
computing, based at least on processing simulation data representative of a simulated environment using the virtual sensor model, the virtual sensor data representative of a view of the simulated environment from a perspective of the virtual sensor associated with a virtual object simulating an ego-object within the simulated environment; and
computing an output using at least one component of a software stack associated with control of the ego-object in one or more real-world environments and based at least on the virtual sensor data.