NVIDIA Corporation patent applications on September 26th, 2024

Patent Applications by NVIDIA Corporation on September 26th, 2024

NVIDIA Corporation: 7 patent applications

NVIDIA Corporation has applied for patents in the areas of G06V20/56 (2), B60W60/00 (1), G06V20/00 (1), G06V10/84 (1), G06V10/82 (1) B60W60/0015 (1), G05B19/4155 (1), G06T11/001 (1), G06T19/003 (1), G06V20/58 (1)

With keywords such as: network, perception, data, training, rig, target, systems, such, simulated, and record in patent application abstracts.

Patent Applications by NVIDIA Corporation

20240317263. VIEWPOINT-ADAPTIVE PERCEPTION FOR AUTONOMOUS MACHINES AND APPLICATIONS USING REAL AND SIMULATED SENSOR DATA_simplified_abstract_(nvidia corporation)

Inventor(s): Ahyun SEO of POHANG (KP) for nvidia corporation, Tae Eun Choe of Belmont CA (US) for nvidia corporation, Minwoo Park of Saratoga CA (US) for nvidia corporation, Jung Seock Joo of Los Altos CA (US) for nvidia corporation

IPC Code(s): B60W60/00, G06N3/04

CPC Code(s): B60W60/0015

Abstract: systems and methods are disclosed relating to viewpoint adapted perception for autonomous machines and applications. a 3d perception network may be adapted to handle unavailable target rig data by training one or more layers of the 3d perception network as part of a training network using real source rig data and simulated source and target rig data. feature statistics extracted from the real source data may be used to transform the features extracted from the simulated data during training. the paths for real and simulated data through the resulting network may be alternately trained on real and simulated data to update shared weights for the different paths. as such, one or more of the paths through the training network(s) may be designated as the 3d perception network, and target rig data may be applied to the 3d perception network to perform one or more perception tasks.

20240319713. DECIDER NETWORKS FOR REACTIVE DECISION-MAKING FOR ROBOTIC SYSTEMS AND APPLICATIONS_simplified_abstract_(nvidia corporation)

Inventor(s): Nathan Donald Ratliff of Seattle WA (US) for nvidia corporation

IPC Code(s): G05B19/4155, B25J9/16

CPC Code(s): G05B19/4155

Abstract: in various examples, systems and methods are disclosed relating to decider networks for reactive decision-making, including for control of robotic systems. the decider networks can allow robotic systems to operate more collaboratively, such as by allowing the robotic systems to more frequently process and react to dynamic states of the environment and objects in the environment, such as to change decisions and/or paths of decision execution responsive to dynamic changes in logical states. the decider network can include a plurality of nodes having functions to process the logical states in sequence to determine actions for the robotic systems to perform.

20240320878. LIGHT-RESAMPLING WITH SURFACE SIMILARITY TEST_simplified_abstract_(nvidia corporation)

Inventor(s): Alexey Panteleev of Los Gatos CA (US) for nvidia corporation

IPC Code(s): G06T11/00

CPC Code(s): G06T11/001

Abstract: devices, systems, and techniques to incorporate lighting effects into computer-generated graphics. in at least one embodiment, a graphical frame depicting a virtual scene comprising is rendered by generating a record indicative of one or more lights in the virtual scene, and using the record to render a pixel. a second record, indicative of other lights in the virtual scene, is selected to combine with the first record, based at least in part on similarity between surfaces associated with the respective records. the combined record is used to render a pixel in a second graphical frame.

20240320923. VIEWPOINT-ADAPTIVE PERCEPTION FOR AUTONOMOUS MACHINES AND APPLICATIONS USING SIMULATED SENSOR DATA_simplified_abstract_(nvidia corporation)

Inventor(s): Ahyun SEO of POHANG (KP) for nvidia corporation, Tae Eun Choe of Belmont CA (US) for nvidia corporation, Minwoo Park of Saratoga CA (US) for nvidia corporation, Jung Seock Joo of Los Altos CA (US) for nvidia corporation

IPC Code(s): G06T19/00, H04N13/111, H04N13/282

CPC Code(s): G06T19/003

Abstract: systems and methods are disclosed relating to viewpoint adapted perception for autonomous machines and applications. a 3d perception network may be adapted to handle unavailable target rig data by training the one or more layers of the 3d perception network as part of a training network using simulated source and target rig data. a consistency loss that compares (e.g., top-down) transformed feature maps extracted from simulated source and target rig data may be used to minimize differences across training channels. as such, one or more of the paths through the training network(s) may be designated as the 3d perception network, and target rig data may be applied to the 3d perception network to perform one or more perception tasks.

20240320986. ASSIGNING OBSTACLES TO LANES USING NEURAL NETWORKS FOR AUTONOMOUS MACHINE APPLICATIONS_simplified_abstract_(nvidia corporation)

Inventor(s): Mehmet Kocamaz of Santa Clara CA (US) for nvidia corporation, Neeraj Sajjan of Santa Clara CA (US) for nvidia corporation, Sangmin Oh of San Jose CA (US) for nvidia corporation, David Nister of Bellevue WA (US) for nvidia corporation, Junghyun Kwon of Santa Clara CA (US) for nvidia corporation, Minwoo Park of Santa Clara CA (US) for nvidia corporation

IPC Code(s): G06V20/58, G06N3/08, G06V10/20, G06V10/94, G06V20/56, G06V20/64

CPC Code(s): G06V20/58

Abstract: in various examples, live perception from sensors of an ego-machine may be leveraged to detect objects and assign the objects to bounded regions (e.g., lanes or a roadway) in an environment of the ego-machine in real-time or near real-time. for example, a deep neural network (dnn) may be trained to compute outputs—such as output segmentation masks—that may correspond to a combination of object classification and lane identifiers. the output masks may be post-processed to determine object to lane assignments that assign detected objects to lanes in order to aid an autonomous or semi-autonomous machine in a surrounding environment.

20240320993. SCENE GRAPH GENERATION FOR UNLABELED DATA_simplified_abstract_(nvidia corporation)

Inventor(s): Aayush Prakash of Toronto (CA) for nvidia corporation, Shoubhik Debnath of Sunnyvale CA (US) for nvidia corporation, Jean-Francois Lafleche of Toronto (CA) for nvidia corporation, Eric Cameracci of Toronto (CA) for nvidia corporation, Gavriel State of Toronto (CA) for nvidia corporation, Marc Teva Law of Ontario (CA) for nvidia corporation

IPC Code(s): G06V20/70, G06F18/10, G06F18/20, G06F18/24, G06V10/764, G06V10/82, G06V10/84, G06V20/00, G06V20/56

CPC Code(s): G06V20/70

Abstract: approaches are presented for training and using scene graph generators for transfer learning. a scene graph generation technique can decompose a domain gap into individual types of discrepancies, such as may relate to appearance, label, and prediction discrepancies. these discrepancies can be reduced, at least in part, by aligning the corresponding latent and output distributions using one or more gradient reversal layers (grls). label discrepancies can be addressed using self-pseudo-statistics collected from target data. pseudo statistic-based self-learning and adversarial techniques can be used to manage these discrepancies without the need for costly supervision from a real-world dataset.

20240322559. ON DIE CURRENT SINK CIRCUIT FOR OVERSHOOT MITIGATION_simplified_abstract_(nvidia corporation)

Inventor(s): Tezaswi Raja of San Jose CA (US) for nvidia corporation, Abhishek B Akkur of San Jose CA (US) for nvidia corporation, Jun Gu of San Jose CA (US) for nvidia corporation, Chengcheng Liu of Sunnyvale CA (US) for nvidia corporation

IPC Code(s): H02H9/04

CPC Code(s): H02H9/045

Abstract: an integrated circuit that includes multiple power rails with dummy loads configured on at least some of the power rails. the dummy loads are activated in response to a voltage overshoot condition on regions of the power rails at which the dummy loads are located. the dummy loads may be substituted for decoupling capacitors or other active cells at particular regions of the power rails.

NVIDIA Corporation patent applications on September 26th, 2024