Patent ID: 11966838
Assignee: NVIDIA CORPORATION
Field: Measurement (Instruments)
Classification: CPC G | IPC G

Claim 0:
1. A method comprising:
receiving sensor data representative of a sensory field of a sensor disposed or positioned on a vehicle moving through an environment;
computing, using one or more machine learning models and based at least on the sensor data, trajectory data representative of a world space trajectory for the vehicle, the one or more machine learning models being trained based at least on:
ground truth data representative of one or more trajectories used to navigate a data collection vehicle within a real-world environment;
image data generated using one or more image sensors of the data collection vehicle at least partly during navigation of the data collection vehicle along the one or more trajectories within the real-world environment, the image data representing one or more images depicting at least a portion of the real-world environment;
one or more annotations that relate the ground truth data to the image data, an individual annotation of the one or more annotations relating a location along a trajectory of the one or more trajectories with an image of the one or more images;
determining, using the one or more machine learning models and based at least on a portion of the image data representing the image, a predicted trajectory; and
comparing, based at least on the one or more annotations, the predicted trajectory to at least a portion of the trajectory of the one or more trajectories used to navigate the data collection vehicle within the real-world environment; and

causing the vehicle to navigate based at least on the world space trajectory.