Patent ID: 11885907
Assignee: NVIDIA CORPORATION
Field: Measurement (Instruments)
Classification: CPC G | IPC G

Claim 11:
12. A method comprising:
applying RADAR data representing an environment to a neural network to cause the neural network to compute (i) using a class confidence head that is of the neural network and comprises a plurality of classification channels, a first output comprising a first tensor storing a confidence map for each of the classification channels representing likelihood that at least one individual pixel of one or more pixels belongs to a corresponding class of a plurality of classes of one or more detected objects, and (ii) using an instance regression head that is of the neural network and comprises a plurality of regression channels for each class of the plurality of classes, a second output comprising a second tensor storing regressed location, size, and orientation data for one or more object instances of the one or more detected objects for each class of the plurality of classes; and
generating, based at least on the first tensor and the second tensor output by the neural network, one or more bounding shapes corresponding to at least one detected object of the one or more detected objects in the environment.