公开(公告)号：US20240386586A1

公开(公告)日：2024-11-21

申请号：US18320265

申请日：2023-05-19

Applicant: NVIDIA Corporation

Inventor： Alperen DEGIRMENCI ,  Jiwoong CHOI ,  Zhiding YU ,  Ke CHEN ,  Shubhranshu SINGH ,  Yashar ASGARIEH ,  Subhashree RADHAKRISHNAN ,  James SKINNER ,  Jose Manuel ALVAREZ LOPEZ

IPC: G06T7/50 ,  G06T3/00

Abstract: In various examples, systems and methods are disclosed relating to using neural networks for object detection or instance/semantic segmentation for, without limitation, autonomous or semi-autonomous systems and applications. In some implementations, one or more neural networks receive an image (or other sensor data representation) and a bounding shape corresponding to at least a portion of an object in the image. The bounding shape can include or be labeled with an identifier, class, and/or category of the object. The neural network can determine a mask for the object based at least on processing the image and the bounding shape. The mask can be used for various applications, such as annotating masks for vehicle or machine perception and navigation processes.

公开(公告)号：US20240338598A1

公开(公告)日：2024-10-10

申请号：US18606938

申请日：2024-03-15

Applicant: NVIDIA CORPORATION

Inventor： Caelan Reed GARRETT ,  Fabio TOZETO RAMOS ,  Iretiayo AKINOLA ,  Alperen DEGIRMENCI ,  Clemens EPPNER ,  Dieter FOX ,  Tucker Ryer HERMANS ,  Ajay Uday MANDLEKAR ,  Arsalan MOUSAVIAN ,  Yashraj Shyam NARANG ,  Rowland Wilde O'FLAHERTY ,  Balakumar SUNDARALINGAM ,  Wei YANG

IPC: G06N20/00

CPC classification number: G06N20/00

Abstract: One embodiment of a method for generating simulation data to train a machine learning model includes generating a plurality of simulation environments based on a user input, and for each simulation environment included in the plurality of simulation environments: generating a plurality of tasks for a robot to perform within the simulation environment, performing one or more operations to determine a plurality of robot trajectories for performing the plurality of tasks, and generating simulation data for training a machine learning model by performing one or more operations to simulate the robot moving within the simulation environment according to the plurality of trajectories.