公开(公告)号：US20240227726A1

公开(公告)日：2024-07-11

申请号：US18616129

申请日：2024-03-25

申请人： Alpine Electronics of Silicon Valley, Inc.

发明人： Rocky Chau-Hsiung Lin ,  Thomas Yamasaki ,  Koichiro Kanda

IPC分类号： B60R22/48 ,  B60Q9/00 ,  G06F18/214 ,  G06F18/24 ,  G06N3/04 ,  G06N3/08 ,  G06V10/44 ,  G06V10/82 ,  G06V20/59 ,  G06V40/20 ,  G08B25/10 ,  H04W4/44

CPC分类号： B60R22/48 ,  B60Q9/008 ,  G06F18/214 ,  G06F18/24 ,  G06N3/04 ,  G06N3/08 ,  G06V10/454 ,  G06V10/82 ,  G06V20/59 ,  G06V20/597 ,  G06V40/20 ,  G08B25/10 ,  H04W4/44 ,  B60R2022/4891

摘要： Devices, systems and processes for the detection of unsafe cabin conditions that provides a safer passenger experience in autonomous vehicles are described. One example method for enhancing passenger safety includes capturing at least a set of images of one or more passengers in the vehicle, determining, based on the set of images, the occurrence of an unsafe activity in an interior of the vehicle, performing, using a neural network, a classification of the unsafe activity, and performing, based on the classification, one or more responsive actions.

公开(公告)号：US20230415582A1

公开(公告)日：2023-12-28

申请号：US18465715

申请日：2023-09-12

申请人： ALPINE ELECTRONICS OF SILICON VALLEY, INC.

发明人： Thomas Yamasaki ,  Rei Kanda ,  Mela Lin

IPC分类号： B60L15/20 ,  B60L7/10 ,  B62K11/00 ,  B62J45/41 ,  B62J45/20 ,  G01S13/931

CPC分类号： B60L15/2009 ,  B60L7/10 ,  B62K11/00 ,  B62J45/41 ,  B62J45/20 ,  G01S13/931 ,  G01S2013/93185 ,  B60L2200/24 ,  B62K2202/00 ,  B60L2240/12 ,  B60L2240/421 ,  G01S2013/9319 ,  B60L2200/12

摘要： Disclosed herein are systems, devices, and processes that use millimeter wave radar or other remote sensing to enhance mobility applications. Obstacles may be detected using remote sensing. Acceleration of a mobility apparatus may be controlled based on detection of the obstacle. The controlling may be performed based on characteristics of the obstacle, including location, type of obstacle, and/or trajectory of the obstacle.

公开(公告)号：US11752880B2

公开(公告)日：2023-09-12

申请号：US17018782

申请日：2020-09-11

申请人： Alpine Electronics of Silicon Valley, Inc.

发明人： Thomas Yamasaki ,  Rei Kanda ,  Mela Lin

IPC分类号： B60L15/20 ,  B60L7/10 ,  B62K11/00 ,  B62J45/41 ,  B62J45/20 ,  G01S13/931

CPC分类号： B60L15/2009 ,  B60L7/10 ,  B62J45/20 ,  B62J45/41 ,  B62K11/00 ,  G01S13/931 ,  B60L2200/12 ,  B60L2200/24 ,  B60L2240/12 ,  B60L2240/421 ,  B62K2202/00 ,  G01S2013/9319 ,  G01S2013/93185

摘要： Disclosed herein are systems, devices, and processes that use millimeter wave radar or other remote sensing to enhance mobility applications. Obstacles may be detected using remote sensing. Acceleration of a mobility apparatus may be controlled based on detection of the obstacle. The controlling may be performed based on characteristics of the obstacle, including location, type of obstacle, and/or trajectory of the obstacle.

公开(公告)号：US11599786B2

公开(公告)日：2023-03-07

申请号：US16267285

申请日：2019-02-04

申请人： Alpine Electronics of Silicon Valley, Inc.

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

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

摘要： 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.

公开(公告)号：US20210117660A1

公开(公告)日：2021-04-22

申请号：US16657850

申请日：2019-10-18

申请人： Alpine Electronics of Silicon Valley, Inc.

发明人： Diego Rodriguez Risco ,  Samir El Aouar ,  Alexander Joseph Ryan

IPC分类号： G06K9/00 ,  G06F3/01 ,  G06T7/269 ,  G06N3/04

摘要： Disclosed herein are systems, devices, and processes for gesture detection. A method includes capturing a series of images. The method includes generating motion isolation information based on the series of images. The method includes generating a composite image based on the motion isolation information. The method includes determining a gesture based on the composite image. The processes described herein may include the use of convolutional neural networks on a series of time-related images to perform gesture detection on embedded systems or devices.

公开(公告)号：US20190171937A1

公开(公告)日：2019-06-06

申请号：US16267285

申请日：2019-02-04

申请人： Alpine Electronics of Silicon Valley, Inc.

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

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

摘要： 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.

公开(公告)号：US20180232639A1

公开(公告)日：2018-08-16

申请号：US15947295

申请日：2018-04-06

申请人： Alpine Electronics of Silicon Valley, Inc.

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

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

CPC分类号： G06N3/08 ,  G06N3/04 ,  G06N3/063

摘要： 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.

公开(公告)号：US09729985B2

公开(公告)日：2017-08-08

申请号：US14609357

申请日：2015-01-29

申请人： Alpine Electronics of Silicon Valley, Inc.

发明人： Rocky Chau-Hsiung Lin ,  Thomas Yamasaki

IPC分类号： H04R29/00 ,  G01H11/06 ,  H04R31/00 ,  H04R1/10

CPC分类号： H04R29/00 ,  G01H11/06 ,  H04R1/1008 ,  H04R1/1041 ,  H04R1/1091 ,  H04R1/22 ,  H04R3/04 ,  H04R31/00 ,  H04R2420/07 ,  H04R2460/13

摘要： Method and devices for testing a headphone with increased sensation are provided. The headphone can filter and amplify low frequency audio signals, which are then sent to a haptic device in the headphone. The haptic device can cause bass sensations at the top of the skull and at both ear cups. The testing system can evaluate the haptic and acoustic sensations produced by the headphone to evaluate if they have been properly assembled and calibrate the headphones if necessary.

公开(公告)号：US20240223979A1

公开(公告)日：2024-07-04

申请号：US18449572

申请日：2023-08-14

申请人： Alpine Electronics of Silicon Valley, Inc.

发明人： Rocky Chau-Hsiung Lin ,  Thomas Yamasaki ,  Hiroyuki Toki ,  Koichiro Kanda

IPC分类号： H04R29/00 ,  G01H11/06 ,  H04R1/10 ,  H04R5/033 ,  H04R31/00

CPC分类号： H04R29/00 ,  G01H11/06 ,  H04R1/1008 ,  H04R1/1041 ,  H04R1/1091 ,  H04R5/033 ,  H04R31/00 ,  H04R2400/03 ,  H04R2420/07 ,  H04R2460/07 ,  H04R2460/13 ,  H04R2499/13

摘要： Method and devices for processing audio signals based on sound profiles are provided. A sound profile can include data related to haptic movement of the audio data which is specific to a left ear or a right ear, demographic information, ethnicity information, age information, location information, social media information, intensity score of the audio data, previous usage information, or device information. A sound profile can be customized for individual user to include the inaudible frequency range at high frequency end and low frequency end. Audio data within the inaudible frequency range can be compensated by haptic movement corresponding to the inaudible frequency range. A sound profile can further include an audio frequency range and its lowest audible volume for a user. A sound profile can be provided to a user without any action from the user's part.

公开(公告)号：US11938896B2

公开(公告)日：2024-03-26

申请号：US17982109

申请日：2022-11-07

申请人： Alpine Electronics of Silicon Valley, Inc.

发明人： Rocky Chau-Hsiung Lin ,  Thomas Yamasaki ,  Koichiro Kanda

IPC分类号： G06N3/04 ,  B60Q9/00 ,  B60R22/48 ,  G06F18/214 ,  G06F18/24 ,  G06N3/08 ,  G06V10/44 ,  G06V10/82 ,  G06V20/59 ,  G06V40/20 ,  G08B25/10 ,  H04W4/44

CPC分类号： B60R22/48 ,  B60Q9/008 ,  G06F18/214 ,  G06F18/24 ,  G06N3/04 ,  G06N3/08 ,  G06V10/454 ,  G06V10/82 ,  G06V20/59 ,  G06V20/597 ,  G06V40/20 ,  G08B25/10 ,  H04W4/44 ,  B60R2022/4891

摘要： Devices, systems and processes for the detection of unsafe cabin conditions that provides a safer passenger experience in autonomous vehicles are described. One example method for enhancing passenger safety includes capturing at least a set of images of one or more passengers in the vehicle, determining, based on the set of images, the occurrence of an unsafe activity in an interior of the vehicle, performing, using a neural network, a classification of the unsafe activity, and performing, based on the classification, one or more responsive actions.