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    Neural network applications in resource constrained environments
    4.
    发明授权
    Neural network applications in resource constrained environments 有权

    公开(公告)号：US11599786B2

    公开(公告)日：2023-03-07

    申请号：US16267285

    申请日：2019-02-04

    Applicant: Alpine Electronics of Silicon Valley, Inc.

    Inventor： Rocky Chau-Hsiung Lin ,  Thomas Yamasaki ,  Koichiro Kanda ,  Diego Rodriguez Risco ,  Alexander Joseph Ryan

    IPC: G06N3/08 ,  G06N3/04 ,  G06N3/063

    Abstract: Systems and methods are disclosed for applying neural networks in resource-constrained environments. A system may include a sensor located in a resource-constrained environment configured to generate sensor data of the resource-constrained environment. The system may also include a first computing device not located in the resource-constrained environment configured to produce a neural network structure based on the sensor data. The system may further include a second computing device located in the resource-constrained environment configured to provide the sensor data as input to the neural network structure. The second computing device may be further configured to determine a state of the resource-constrained environment based on the input of the sensor data to the neural network structure.

    NEURAL NETWORK APPLICATIONS IN RESOURCE CONSTRAINED ENVIRONMENTS
    5.
    发明申请
    NEURAL NETWORK APPLICATIONS IN RESOURCE CONSTRAINED ENVIRONMENTS 审中-公开

    公开(公告)号：US20190171937A1

    公开(公告)日：2019-06-06

    申请号：US16267285

    申请日：2019-02-04

    Applicant: Alpine Electronics of Silicon Valley, Inc.

    Inventor： Rocky Chau-Hsiung Lin ,  Thomas Yamasaki ,  Koichiro Kanda ,  Diego Rodriguez Risco ,  Alexander Joseph Ryan

    IPC: G06N3/08 ,  G06N3/063 ,  G06N3/04

    Abstract: Systems and methods are disclosed for applying neural networks in resource-constrained environments. A system may include a sensor located in a resource-constrained environment configured to generate sensor data of the resource-constrained environment. The system may also include a first computing device not located in the resource-constrained environment configured to produce a neural network structure based on the sensor data. The system may further include a second computing device located in the resource-constrained environment configured to provide the sensor data as input to the neural network structure. The second computing device may be further configured to determine a state of the resource-constrained environment based on the input of the sensor data to the neural network structure.

    NEURAL NETWORK APPLICATIONS IN RESOURCE CONSTRAINED ENVIRONMENTS
    6.
    发明申请
    NEURAL NETWORK APPLICATIONS IN RESOURCE CONSTRAINED ENVIRONMENTS 审中-公开

    公开(公告)号：US20180232639A1

    公开(公告)日：2018-08-16

    申请号：US15947295

    申请日：2018-04-06

    Applicant: Alpine Electronics of Silicon Valley, Inc.

    Inventor： Rocky Chau-Hsiung Lin ,  Thomas Yamasaki ,  Koichiro Kanda ,  Diego Rodriguez Risco ,  Alexander Joseph Ryan ,  Samah Najeeb ,  Samir El Aouar

    IPC: G06N3/08 ,  G06N3/063 ,  G06N3/04

    CPC classification number: G06N3/08 ,  G06N3/04 ,  G06N3/063

    Abstract: Systems and methods are disclosed for applying neural networks in resource-constrained environments. A system may include a sensor located in a resource-constrained environment configured to generate first sensor data and second sensor data of the resource-constrained environment. The system may also include a first computing device not located in the resource-constrained environment configured to produce a neural network structure based on the first sensor data. The system may also include a second computing device configured to determine a state of the resource-constrained environment based on input of the second sensor data to the neural network structure. The system may also include a controller located in the resource-constrained environment configured to control a device in the resource-constrained environment based on the state of the resource-constrained environment determined by the second computing device. The second computing device may be further configured to calculate an activation area for the neural network structure.

    Dynamic microphone system for autonomous vehicles
    9.
    发明授权
    Dynamic microphone system for autonomous vehicles 有权

    公开(公告)号：US11854541B2

    公开(公告)日：2023-12-26

    申请号：US17109002

    申请日：2020-12-01

    Applicant: Alpine Electronics of Silicon Valley, Inc.

    Inventor： Thomas Yamasaki ,  Rocky Chau-Hsiung Lin ,  Koichiro Kanda

    IPC: G10L15/22 ,  B60R16/037

    CPC classification number: G10L15/22 ,  B60R16/0373 ,  G10L2015/223

    Abstract: Devices, systems and processes for a dynamic microphone system that enhances the passenger experience in autonomous vehicles are described. One example method for enhancing a passenger experiences includes generating, using an artificial intelligence algorithm, a plurality of filters based on a plurality of stored waveforms previously recorded by each of one or more passengers and a plurality of recordings of one or more noise sources, capturing voice commands from at least one of the one or more passengers inside the autonomous vehicle, generating voice commands with reduced distortion based on processing the voice commands using the plurality of filters, and instructing, based on the voice commands with reduced distortion, the autonomous vehicle to perform one or more actions.

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