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公开(公告)号：US11069161B2
公开(公告)日：2021-07-20
申请号：US16587084
申请日：2019-09-30
Applicant: Ford Global Technologies, LLC
Inventor： Iman Soltani Bozchalooi , Francis Assadian , Lisa Scaria
Abstract: A computer, including a processor and a memory, the memory including instructions to be executed by the processor to determine performance of a plurality of vehicle data sources used to operate a vehicle by evaluating each vehicle data source output data and train a deep neural network to determine reliability for each of the vehicle data sources based on the performance using reinforcement learning. The instructions can further include instructions to combine output data from the vehicle data sources based on the reliability including using the deep neural network to correlate output data from one or more vehicle data sources to the performance to determine how accurately the output data from each vehicle data source corresponds to vehicle performance and operate the vehicle based on combined output data.
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22.发明授权公开(公告)号：US10937438B2
公开(公告)日：2021-03-02
申请号：US15940639
申请日：2018-03-29
Applicant: Ford Global Technologies, LLC
Inventor： Praveen Narayanan , Lisa Scaria , Francois Charette , Ashley Elizabeth Micks , Ryan Burke
Abstract: Systems, methods, and devices for speech transformation and generating synthetic speech using deep generative models are disclosed. A method of the disclosure includes receiving input audio data comprising a plurality of iterations of a speech utterance from a plurality of speakers. The method includes generating an input spectrogram based on the input audio data and transmitting the input spectrogram to a neural network configured to generate an output spectrogram. The method includes receiving the output spectrogram from the neural network and, based on the output spectrogram, generating synthetic audio data comprising the speech utterance.
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公开(公告)号：US20190329767A1
公开(公告)日：2019-10-31
申请号：US16506707
申请日：2019-07-09
Applicant: Ford Global Technologies, LLC.
Inventor： Nikhil Nagraj Rao , Scott Vincent Myers , Lisa Scaria , Harpreetsingh Banvait
IPC: B60W30/09 , G08G1/0967 , G08G1/16 , B60W30/095 , B60W50/14
Abstract: Techniques pertaining to vehicle occupancy indication and utilization thereof are described. A method may involve determining occupancy information regarding a number of occupants in a vehicle. The method may also involve indicating the occupancy information in either or both of a human-perceivable way and a machine-perceivable way.
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公开(公告)号：US10192125B2
公开(公告)日：2019-01-29
申请号：US15299211
申请日：2016-10-20
Applicant: Ford Global Technologies, LLC
Inventor： Scott Vincent Myers , Alexandro Walsh , Francois Charette , Lisa Scaria
Abstract: A vehicle is disclosed that includes systems for adjusting the transmittance of one or more windows of the vehicle. The vehicle may include a camera outputting images taken of an occupant within the vehicle. The vehicle may also include an artificial neural network running on computer hardware carried on-board the vehicle. The artificial neural network may be trained to classify the occupant of the vehicle using the images captured by the camera as input. The vehicle may further include a controller controlling transmittance of the one or more windows based on classifications made by the artificial neural network. For example, if the artificial neural network classifies the occupant as squinting or shading his or her eyes with a hand, the controller may reduce the transmittance of a windshield, side window, or some combination thereof.
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Patent Agency Ranking
公开(公告)号：US20190026574A1
公开(公告)日：2019-01-24
申请号：US16105646
申请日：2018-08-20
Applicant: Ford Global Technologies, LLC
Inventor： Scott Vincent Myers , Alexandro Walsh , Francois Charette , Lisa Scaria
Abstract: A vehicle is disclosed that includes systems for adjusting the transmittance of one or more windows of the vehicle. The vehicle may include a camera outputting images taken of an occupant within the vehicle. The vehicle may also include an artificial neural network running on computer hardware carried on-board the vehicle. The artificial neural network may be trained to classify the occupant of the vehicle using the images captured by the camera as input. The vehicle may further include a controller controlling transmittance of the one or more windows based on classifications made by the artificial neural network. For example, if the artificial neural network classifies the occupant as squinting or shading his or her eyes with a hand, the controller may reduce the transmittance of a windshield, side window, or some combination thereof
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公开(公告)号：US20180201254A1
公开(公告)日：2018-07-19
申请号：US15409265
申请日：2017-01-18
Applicant: Ford Global Technologies, LLC
Inventor： Scott Vincent Myers , Mohamed Ahmad , Jinesh J. Jain , Lisa Scaria
CPC classification number: B60W30/025 , B60G17/016 , B60G17/017 , B60G2401/142 , B60G2401/16 , B60G2800/01 , B60G2800/16 , B60W10/22 , B60W10/30 , B60W50/14 , B60W2420/42 , B60W2420/52 , B60W2420/54 , B60W2550/14 , B60W2710/22 , G05D1/0088 , G05D1/0212
Abstract: Example ride control systems and methods are described. In one implementation, a method receives a request to initiate a drive session to help a baby fall asleep in a vehicle. The method identifies a driving route for the drive session and implements the drive session by following the driving route. One or more vehicle-mounted sensors determine whether the baby in the vehicle has fallen asleep during the drive session.
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公开(公告)号：US10000172B2
公开(公告)日：2018-06-19
申请号：US15195799
申请日：2016-06-28
Applicant: Ford Global Technologies, LLC
Inventor： Alexandru Mihai Gurghian , Scott Vincent Myers , Mohamed Ahmad , Lisa Scaria
CPC classification number: B60R21/0134 , B60Q9/008 , E05F15/40 , E05Y2400/54 , E05Y2900/531 , G01S17/026 , G01S17/93
Abstract: The present invention extends to methods, systems, and computer program products for detecting hazards in anticipation of opening vehicle doors. Vehicle sensors (e.g., rear viewing cameras) can be used to detect and classify traffic, for example, as pedestrians, bicyclists, skateboarders, roller skaters, wheel chair, etc., approaching on the side of a vehicle. When there is a possibility of a vehicle occupant opening a door into approaching traffic, a warning can be issued in the vehicle cabin to alert vehicle occupants of the approaching traffic. In one aspect, a vehicle prevents a door from opening if opening the door would likely cause an accident.
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公开(公告)号：US20180114079A1
公开(公告)日：2018-04-26
申请号：US15299211
申请日：2016-10-20
Applicant: Ford Global Technologies, LLC
Inventor： Scott Vincent Myers , Alexandro Walsh , Francois Charette , Lisa Scaria
CPC classification number: G06K9/00838 , B60J3/04 , G02F1/163 , G06K9/00791 , G06K9/00845 , G06K9/4619 , G06K9/4628 , G06K9/6273 , G06K9/6277 , G06K9/66 , G06N3/08
Abstract: A vehicle is disclosed that includes systems for adjusting the transmittance of one or more windows of the vehicle. The vehicle may include a camera outputting images taken of an occupant within the vehicle. The vehicle may also include an artificial neural network running on computer hardware carried on-board the vehicle. The artificial neural network may be trained to classify the occupant of the vehicle using the images captured by the camera as input. The vehicle may further include a controller controlling transmittance of the one or more windows based on classifications made by the artificial neural network. For example, if the artificial neural network classifies the occupant as squinting or shading his or her eyes with a hand, the controller may reduce the transmittance of a windshield, side window, or some combination thereof.
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公开(公告)号：US20170369016A1
公开(公告)日：2017-12-28
申请号：US15195799
申请日：2016-06-28
Applicant: Ford Global Technologies, LLC
Inventor： Alexandru Mihai Gurghian , Scott Vincent Myers , Mohamed Ahmad , Lisa Scaria
IPC: B60R21/0134 , G01S17/93 , E05F15/40 , B60Q9/00 , G01S17/02
CPC classification number: B60R21/0134 , B60Q9/008 , E05F15/40 , E05Y2400/54 , E05Y2900/531 , G01S17/026 , G01S17/93
Abstract: The present invention extends to methods, systems, and computer program products for detecting hazards in anticipation of opening vehicle doors. Vehicle sensors (e.g., rear viewing cameras) can be used to detect and classify traffic, for example, as pedestrians, bicyclists, skateboarders, roller skaters, wheel chair, etc., approaching on the side of a vehicle. When there is a possibility of a vehicle occupant opening a door into approaching traffic, a warning can be issued in the vehicle cabin to alert vehicle occupants of the approaching traffic. In one aspect, a vehicle prevents a door from opening if opening the door would likely cause an accident.
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