公开(公告)号：US20220101619A1

公开(公告)日：2022-03-31

申请号：US17542041

申请日：2021-12-03

Applicant: NVIDIA Corporation

Inventor： Rev Lebaredian ,  Michael Kass ,  Brian Harris ,  Andrey Shulzhenko ,  Dmitry Duka

IPC: G06T19/20

Abstract: A content management system may maintain a scene description that represents a 3D virtual environment and a publish/subscribe model in which clients subscribe to content items that correspond to respective portions of the shared scene description. When changes are made to content, the changes may be served to subscribing clients. Rather than transferring entire descriptions of assets to propagate changes, differences between versions of content may be exchanged, which may be used construct updated versions of the content. Portions of scene description may reference other content items and clients may determine whether to request and load these content items for lazy loading. Content items may be identified by Uniform Resource Identifiers (URIs) used to reference the content items. The content management system may maintain states for client connections including for authentication, for the set of subscriptions in the publish/subscribe model, and for their corresponding version identifiers.

公开(公告)号：US20190303759A1

公开(公告)日：2019-10-03

申请号：US16366875

申请日：2019-03-27

Applicant: NVIDIA Corporation

Inventor： Clement Farabet ,  John Zedlewski ,  Zachary Taylor ,  Greg Heinrich ,  Claire Delaunay ,  Mark Daly ,  Matthew Campbell ,  Curtis Beeson ,  Gary Hicok ,  Michael Cox ,  Rev Lebaredian ,  Tony Tamasi ,  David Auld

IPC: G06N3/08 ,  G06F9/455 ,  G06N20/00

Abstract: In various examples, physical sensor data may be generated by a vehicle in a real-world environment. The physical sensor data may be used to train deep neural networks (DNNs). The DNNs may then be tested in a simulated environment—in some examples using hardware configured for installation in a vehicle to execute an autonomous driving software stack—to control a virtual vehicle in the simulated environment or to otherwise test, verify, or validate the outputs of the DNNs. Prior to use by the DNNs, virtual sensor data generated by virtual sensors within the simulated environment may be encoded to a format consistent with the format of the physical sensor data generated by the vehicle.

公开(公告)号：US20250045996A1

公开(公告)日：2025-02-06

申请号：US18921922

申请日：2024-10-21

Applicant: NVIDIA Corporation

Inventor： Rev Lebaredian ,  Simon Yuen ,  Santanu Dutta ,  Jonathan Michael Cohen ,  Ratin Kumar

IPC: G06T13/00 ,  G10L13/08 ,  G10L15/08 ,  H04L51/02

Abstract: In various examples, a virtually animated and interactive agent may be rendered for visual and audible communication with one or more users with an application. For example, a conversational artificial intelligence (AI) assistant may be rendered and displayed for visual communication in addition to audible communication with end-users. As such, the AI assistant may leverage the visual domain—in addition to the audible domain—to more clearly communicate with users, including interacting with a virtual environment in which the AI assistant is rendered. Similarly, the AI assistant may leverage audio, video, and/or text inputs from a user to determine a request, mood, gesture, and/or posture of a user for more accurately responding to and interacting with the user.

公开(公告)号：US20240404226A1

公开(公告)日：2024-12-05

申请号：US18411327

申请日：2024-01-12

Applicant: NVIDIA Corporation

Inventor： Andrew Russell ,  Omer Shapira ,  Max Bickley ,  Konstantin Shkurko ,  Rev Lebaredian

IPC: G06T19/20 ,  G06T7/70 ,  G06T19/00

Abstract: Apparatuses, systems, and techniques providing a teleportation system combining virtual reality and augment reality are provided. A first set of data associated with a real-world environment is received. An object in the real-world environment, and a first location of the object, are identified based on a subset of the first set of data. A second location of a first user within the real-world environment is identified based on the first set of data. A second set of data representing a first avatar of a guest user is received. A virtual representation of the real-world environment is generated based on the first and second sets of data, comprising the object positioned at the first location and at least one of a second avatar of the first user or the first avatar of the guest user. The virtual representation is send to a computing system associated with the guest user.

公开(公告)号：US11625894B2

公开(公告)日：2023-04-11

申请号：US17204169

申请日：2021-03-17

Applicant: NVIDIA Corporation

Inventor： Dmitry Duka ,  Rev Lebaredian ,  Jonathan Small ,  Ivan Shutov

IPC: G06T17/20 ,  G06T15/50 ,  A63F13/525 ,  G06T15/20

Abstract: Multiple snapshots of a scene are captured within an executing application (e.g., a video game). When each snapshot is captured, associated color values per pixel and a distance or depth value z per pixel are stored. The depth information from the snapshots is accessed, and a point cloud representing the depth information is constructed. A mesh structure is constructed from the point cloud. The light field(s) on the surface(s) of the mesh structure are calculated. A surface light field is represented as a texture. A renderer uses the surface light field with geometry information to reproduce the scene captured in the snapshots. The reproduced scene can be manipulated and viewed from different perspectives.

公开(公告)号：US11436484B2

公开(公告)日：2022-09-06

申请号：US16366875

申请日：2019-03-27

Applicant: NVIDIA Corporation

Inventor： Clement Farabet ,  John Zedlewski ,  Zachary Taylor ,  Greg Heinrich ,  Claire Delaunay ,  Mark Daly ,  Matthew Campbell ,  Curtis Beeson ,  Gary Hicok ,  Michael Cox ,  Rev Lebaredian ,  Tony Tamasi ,  David Auld

IPC: G06N3/08 ,  G06N3/04 ,  G06N20/00 ,  G06F9/455 ,  G06N3/063 ,  G06K9/62 ,  G06V10/44 ,  G06V20/56

Abstract: In various examples, physical sensor data may be generated by a vehicle in a real-world environment. The physical sensor data may be used to train deep neural networks (DNNs). The DNNs may then be tested in a simulated environment—in some examples using hardware configured for installation in a vehicle to execute an autonomous driving software stack—to control a virtual vehicle in the simulated environment or to otherwise test, verify, or validate the outputs of the DNNs. Prior to use by the DNNs, virtual sensor data generated by virtual sensors within the simulated environment may be encoded to a format consistent with the format of the physical sensor data generated by the vehicle.

公开(公告)号：US20200081724A1

公开(公告)日：2020-03-12

申请号：US16681567

申请日：2019-11-12

Applicant: NVIDIA Corporation

Inventor： John F. Spitzer ,  Rev Lebaredian ,  Yury Uralsky

IPC: G06F9/445

Abstract: A system, method, and computer program product are provided for simultaneously determining settings for a plurality of parameter variations. In use, a plurality of parameter variations associated with a device is identified. Additionally, settings for each of the plurality of parameter variations are determined simultaneously.

公开(公告)号：US20250111216A1

公开(公告)日：2025-04-03

申请号：US18980252

申请日：2024-12-13

Applicant: NVIDIA Corporation

Inventor： Clement Farabet ,  John Zedlewski ,  Zachary Taylor ,  Greg Heinrich ,  Claire Delaunay ,  Mark Daly ,  Matthew Campbell ,  Curtis Beeson ,  Gary Hicok ,  Michael Cox ,  Rev Lebaredian ,  Tony Tamasi ,  David Auld

IPC: G06N3/063 ,  G06F9/455 ,  G06F18/2413 ,  G06N3/045 ,  G06N3/08 ,  G06N20/00 ,  G06V10/44 ,  G06V10/764 ,  G06V10/82 ,  G06V20/56

Abstract: In various examples, physical sensor data may be generated by a vehicle in a real-world environment. The physical sensor data may be used to train deep neural networks (DNNs). The DNNs may then be tested in a simulated environment—in some examples using hardware configured for installation in a vehicle to execute an autonomous driving software stack—to control a virtual vehicle in the simulated environment or to otherwise test, verify, or validate the outputs of the DNNs. Prior to use by the DNNs, virtual sensor data generated by virtual sensors within the simulated environment may be encoded to a format consistent with the format of the physical sensor data generated by the vehicle.

公开(公告)号：US12205210B2

公开(公告)日：2025-01-21

申请号：US17318871

申请日：2021-05-12

Applicant: NVIDIA Corporation

Inventor： Rev Lebaredian ,  Simon Yuen ,  Santanu Dutta ,  Jonathan Michael Cohen ,  Ratin Kumar

IPC: G06T13/00 ,  G10L13/08 ,  G10L15/08 ,  H04L51/02

Abstract: In various examples, a virtually animated and interactive agent may be rendered for visual and audible communication with one or more users with an application. For example, a conversational artificial intelligence (AI) assistant may be rendered and displayed for visual communication in addition to audible communication with end-users. As such, the AI assistant may leverage the visual domain—in addition to the audible domain—to more clearly communicate with users, including interacting with a virtual environment in which the AI assistant is rendered. Similarly, the AI assistant may leverage audio, video, and/or text inputs from a user to determine a request, mood, gesture, and/or posture of a user for more accurately responding to and interacting with the user.

公开(公告)号：US12182694B2

公开(公告)日：2024-12-31

申请号：US17898887

申请日：2022-08-30

Applicant: NVIDIA Corporation

Inventor： Clement Farabet ,  John Zedlewski ,  Zachary Taylor ,  Greg Heinrich ,  Claire Delaunay ,  Mark Daly ,  Matthew Campbell ,  Curtis Beeson ,  Gary Hicok ,  Michael Cox ,  Rev Lebaredian ,  Tony Tamasi ,  David Auld

IPC: G06F9/455 ,  G06F18/2413 ,  G06N3/045 ,  G06N3/063 ,  G06N3/08 ,  G06N20/00 ,  G06V10/44 ,  G06V10/764 ,  G06V10/82 ,  G06V20/56

Abstract: In various examples, physical sensor data may be generated by a vehicle in a real-world environment. The physical sensor data may be used to train deep neural networks (DNNs). The DNNs may then be tested in a simulated environment—in some examples using hardware configured for installation in a vehicle to execute an autonomous driving software stack—to control a virtual vehicle in the simulated environment or to otherwise test, verify, or validate the outputs of the DNNs. Prior to use by the DNNs, virtual sensor data generated by virtual sensors within the simulated environment may be encoded to a format consistent with the format of the physical sensor data generated by the vehicle.