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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：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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