-
公开(公告)号:US20240227726A1
公开(公告)日:2024-07-11
申请号:US18616129
申请日:2024-03-25
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:US11599786B2
公开(公告)日:2023-03-07
申请号:US16267285
申请日:2019-02-04
发明人: Rocky Chau-Hsiung Lin , Thomas Yamasaki , Koichiro Kanda , Diego Rodriguez Risco , Alexander Joseph Ryan
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:US20190171937A1
公开(公告)日:2019-06-06
申请号:US16267285
申请日:2019-02-04
发明人: Rocky Chau-Hsiung Lin , Thomas Yamasaki , Koichiro Kanda , Diego Rodriguez Risco , Alexander Joseph Ryan
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
发明人: Rocky Chau-Hsiung Lin , Thomas Yamasaki , Koichiro Kanda , Diego Rodriguez Risco , Alexander Joseph Ryan , Samah Najeeb , Samir El Aouar
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:US20240223979A1
公开(公告)日:2024-07-04
申请号:US18449572
申请日:2023-08-14
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
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.
-
公开(公告)号:US20230113618A1
公开(公告)日:2023-04-13
申请号:US17982109
申请日:2022-11-07
IPC分类号: G06V20/59 , G06N3/04 , G06N3/08 , G08B25/10 , H04W4/44 , B60Q9/00 , B60R22/48 , G06V40/20 , G06F18/24 , G06F18/214
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:US10803334B1
公开(公告)日:2020-10-13
申请号:US16657575
申请日:2019-10-18
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:US20200320992A1
公开(公告)日:2020-10-08
申请号:US16389718
申请日:2019-04-19
IPC分类号: G10L15/22 , B60R16/037
摘要: 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.
-
公开(公告)号:US10204302B2
公开(公告)日:2019-02-12
申请号:US15946678
申请日:2018-04-05
发明人: Rocky Chau-Hsiung Lin , Thomas Yamasaki , Koichiro Kanda , Diego Rodriguez Risco , Alexander Joseph Ryan
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.
-
-
-
-
-
-
-
-
-