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公开(公告)号:US20250061597A1
公开(公告)日:2025-02-20
申请号:US18511828
申请日:2023-11-16
Applicant: NVIDIA Corporation
Inventor: Jack ZHANG , Gordon GRIGOR , Karsten PATZWALDT , Riccardo MARIANI
IPC: G06T7/593
Abstract: The present disclosure relates to detecting objects in detection zones using multiple analysis techniques. The multiple analysis techniques may be used to analyze sensor data corresponding to the detection zones. The multiple analysis techniques may be selected based at least on at least two of the analysis techniques of the multiple analysis techniques having a computational diversity by performing different types of computational analyses on the sensor data with respect to each other, and at least two analysis techniques of the multiple analysis techniques having implementation diversity by being implemented on different types of computing platforms with respect to each other.
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公开(公告)号:US20220116628A1
公开(公告)日:2022-04-14
申请号:US17556819
申请日:2021-12-20
Applicant: NVIDIA Corporation
Inventor: Sarvesh SATAVALEKAR , Gordon GRIGOR , Vinayak PORE , Gajanan BHAT , Mohan NIMAJE , Soumen Kumar DEY , Sameer Anand GUMASTE
IPC: H04N19/182 , G06N3/02 , G06T7/11 , H04N19/33 , H04N1/64 , H04N9/67 , H04N19/186 , H04N1/413
Abstract: Systems and methods for efficient lossless compression of captured raw image information are presented. A method can comprise: receiving raw image data from an image capture device, segregating the pixel data into a base layer portion and an enhanced layer portion, reconfiguring the base layer portion expressed in the first color space values from a raw capture format into a pseudo second color space compression mechanism compatible format, and compressing the reconfigured base layer portion of first color space values. The raw image data can include pixel data are expressed in first color space values. The segregation can be based upon various factors, including a compression benefits analysis of a boundary location between the base layer portion and enhanced layer portion. The reconfiguring the base layer portion can include separating the base layer portion based upon multiple components within the raw data; and forming base layer video frames from the multiple components.
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公开(公告)号:US20240427325A1
公开(公告)日:2024-12-26
申请号:US18341447
申请日:2023-06-26
Applicant: NVIDIA Corporation
Inventor: David ELLIOTT , Gordon GRIGOR
Abstract: In various examples, behavior-based mission task management for mobile autonomous machine systems and applications are provided. A mission controller may generate a mission behavior model logic framework for a mission that accounts for the actions of a set of multiple task agents that play a role in completing the mission. The mission controller may assemble a framework starting from a baseline task sequence, correlate tasks defined by the baseline task sequence with pre-defined behavior models, and customize those behavior models based on mission task customization parameters. The mission controller may provide the mission behavior model logic framework to a mission dispatch function. Individual autonomous mobile task agents may then proceed to execute their assigned portions of local task sequences in accordance with the customized behavior models distributed to them by the mission dispatch function.
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公开(公告)号:US20190265703A1
公开(公告)日:2019-08-29
申请号:US16286330
申请日:2019-02-26
Applicant: NVIDIA Corporation
Inventor: Gary HICOK , Michael COX , Miguel SAINZ , Martin HEMPEL , Ratin KUMAR , Timo ROMAN , Gordon GRIGOR , David NISTER , Justin EBERT , Chin SHIH , Tony TAM , Ruchi BHARGAVA
Abstract: A system and method for an on-demand shuttle, bus, or taxi service able to operate on private and public roads provides situational awareness and confidence displays. The shuttle may include ISO 26262 Level 4 or Level 5 functionality and can vary the route dynamically on-demand, and/or follow a predefined route or virtual rail. The shuttle is able to stop at any predetermined station along the route. The system allows passengers to request rides and interact with the system via a variety of interfaces, including without limitation a mobile device, desktop computer, or kiosks. Each shuttle preferably includes an in-vehicle controller, which preferably is an AI Supercomputer designed and optimized for autonomous vehicle functionality, with computer vision, deep learning, and real time ray tracing accelerators. An AI Dispatcher performs AI simulations to optimize system performance according to operator-specified system parameters.
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公开(公告)号:US20250065920A1
公开(公告)日:2025-02-27
申请号:US18942363
申请日:2024-11-08
Applicant: NVIDIA Corporation
Inventor: Gary HICOK , Michael COX , Miguel SAINZ , Martin HEMPEL , Ratin KUMAR , Timo ROMAN , Gordon GRIGOR , David NISTER , Justin EBERT , Chin-Hsien SHIH , Tony TAM , Ruchi BHARGAVA
Abstract: A system and method for an on-demand shuttle, bus, or taxi service able to operate on private and public roads provides situational awareness and confidence displays. The shuttle may include ISO 26262 Level 4 or Level 5 functionality and can vary the route dynamically on-demand, and/or follow a predefined route or virtual rail. The shuttle is able to stop at any predetermined station along the route. The system allows passengers to request rides and interact with the system via a variety of interfaces, including without limitation a mobile device, desktop computer, or kiosks. Each shuttle preferably includes an in-vehicle controller, which preferably is an AI Supercomputer designed and optimized for autonomous vehicle functionality, with computer vision, deep learning, and real time ray tracing accelerators. An AI Dispatcher performs AI simulations to optimize system performance according to operator-specified system parameters.
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公开(公告)号:US20240425075A1
公开(公告)日:2024-12-26
申请号:US18341432
申请日:2023-06-26
Applicant: NVIDIA Corporation
Inventor: David ELLIOTT , Gordon GRIGOR
Abstract: In various examples, behavior-based mission task management for mobile autonomous machine systems and applications are provided. A mission controller may generate a mission behavior model logic framework for a mission that accounts for the actions of a set of multiple task agents that play a role in completing the mission. The mission controller may assemble a framework starting from a mission template that defines a baseline task sequence, correlate tasks defined by the baseline task sequence with pre-defined behavior models from a task library, and customize those behavior models based on mission task customization parameters. The mission controller may provide the mission behavior model logic framework to a mission dispatch function. Individual autonomous mobile task agents may then proceed to execute their assigned portions of local task sequences in accordance with the customized behavior models distributed to them by the mission dispatch function.
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公开(公告)号:US20220413497A1
公开(公告)日:2022-12-29
申请号:US17896825
申请日:2022-08-26
Applicant: NVIDIA Corporation
Inventor: Gary HICOK , Michael COX , Miguel SAINZ , Martin HEMPEL , Ratin KUMAR , Timo ROMAN , Gordon GRIGOR , David NISTER , Justin EBERT , Chin-Hsien SHIH , Tony TAM , Ruchi BHARGAVA
Abstract: A system and method for an on-demand shuttle, bus, or taxi service able to operate on private and public roads provides situational awareness and confidence displays. The shuttle may include ISO 26262 Level 4 or Level 5 functionality and can vary the route dynamically on-demand, and/or follow a predefined route or virtual rail. The shuttle is able to stop at any predetermined station along the route. The system allows passengers to request rides and interact with the system via a variety of interfaces, including without limitation a mobile device, desktop computer, or kiosks. Each shuttle preferably includes an in-vehicle controller, which preferably is an AI Supercomputer designed and optimized for autonomous vehicle functionality, with computer vision, deep learning, and real time ray tracing accelerators. An AI Dispatcher performs AI simulations to optimize system performance according to operator-specified system parameters.
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