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公开(公告)号：US10232846B2
公开(公告)日：2019-03-19
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
IPC: B60W30/02 , B60W10/22 , B60W10/30 , B60W50/14 , B60G17/017 , G05D1/00 , G05D1/02 , B60G17/016
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：US10173625B2
公开(公告)日：2019-01-08
申请号：US15972541
申请日：2018-05-07
Applicant: Ford Global Technologies, LLC
Inventor： Alexandru Mihai Gurghian , Scott Vincent Myers , Mohamed Ahmad , Lisa Scaria
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：US20180074494A1
公开(公告)日：2018-03-15
申请号：US15264282
申请日：2016-09-13
Applicant: Ford Global Technologies, LLC
Inventor： Scott Vincent Myers , Mark Crawford , Lisa Scaria , Nikhil Nagraj Rao
CPC classification number: G05D1/0088 , G06K9/00288 , G06K9/00791 , G06K9/00838 , G06Q10/025 , G06Q50/30 , H04L67/12 , H04L67/306 , H04W4/029 , H04W4/40 , H04W12/06
Abstract: Example passenger validation systems and methods are described. In one implementation, a method receives, at a vehicle, a transport request indicating a passenger and a pick-up location. The vehicle drives to the pick-up location and authenticates the passenger at the pick-up location. If the passenger is successfully authenticated, the method unlocks the vehicle doors to allow access to the vehicle, determines a number of people entering the vehicle, and confirms that the number of people entering the vehicle matches a number of passengers associated with the transport request.
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公开(公告)号：US11544635B2
公开(公告)日：2023-01-03
申请号：US16480006
申请日：2017-01-31
Applicant: Ford Global Technologies, LLC
Inventor： Lisa Scaria , Candice Xu , Brielle Reiff , Henry Salvatore Savage , Sarah Houts , Jinhyong Oh , Erick Michael Lavoie
Abstract: Systems, methods, and devices for reserving a vehicle with a desired vehicle characteristic are disclosed herein. A system includes a receiver to receive a request to reserve a vehicle, wherein the request indicates a desired vehicle characteristic. The system includes a controller configured to determine a change to the vehicle that will satisfy the vehicle characteristic, and the system includes an implementation component configured to implement the change to the vehicle.
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公开(公告)号：US10957317B2
公开(公告)日：2021-03-23
申请号：US16164355
申请日：2018-10-18
Applicant: Ford Global Technologies, LLC
Inventor： Lisa Scaria , Ryan Burke , Praveen Narayanan , Francois Charette
Abstract: A computing system can determine a vehicle command based on a received spoken language command and determined confidence levels. The computing system can operate a vehicle based on the vehicle command. The computing system can further determine the spoken language command by processing audio spectrum data corresponding to spoken natural language with an automatic speech recognition (ASR) system.
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Patent Agency Ranking
公开(公告)号：US10832067B2
公开(公告)日：2020-11-10
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：US10139827B2
公开(公告)日：2018-11-27
申请号：US15195827
申请日：2016-06-28
Applicant: Ford Global Technologies, LLC
Inventor： Francois Charette , Scott Vincent Myers , Lisa Scaria , Alexandru Mihai Gurghian
Abstract: The present invention extends to methods, systems, and computer program products for detecting physical threats approaching a vehicle. External sensors on a vehicle capture the environment around the vehicle. Approaching targets detected by the external sensors can be fed into a neural network to recognize and/or classify approaching targets as potential threats. Tracking mechanisms (e.g., Kalman filters, Particle filters, etc.) can leverage temporal information to determine if a threat is approaching a vehicle. When an approaching threat is detected, a vehicle can activate one or more counter measures to deter the threat. When a vehicle includes autonomous driving capabilities, counter measures can include automatically attempting to drive away from an approaching threat.
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公开(公告)号：US20180208185A1
公开(公告)日：2018-07-26
申请号：US15411439
申请日：2017-01-20
Applicant: Ford Global Technologies, LLC
Inventor： Nikhil Nagraj Rao , Scott Vincent Myers , Lisa Scaria , Harpreetsingh Banvait
IPC: B60W30/09 , B60W30/095 , G08G1/16 , B60Q1/50
CPC classification number: B60W30/09 , B60Q1/323 , B60Q1/50 , B60Q1/503 , B60W30/0956 , B60W50/14 , B60W2050/146 , B60W2530/00 , B60W2550/00 , B60W2550/40 , B60W2550/408 , G05D1/0088 , G08G1/096716 , G08G1/096741 , G08G1/09675 , G08G1/096791 , G08G1/161
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：US20180075565A1
公开(公告)日：2018-03-15
申请号：US15264230
申请日：2016-09-13
Applicant: Ford Global Technologies, LLC
Inventor： Scott Vincent Myers , Mark Crawford , Lisa Scaria , Nikhil Nagraj Rao
CPC classification number: G06Q50/30 , G05D1/0088 , G06K9/00288 , G06Q30/02 , H04L67/12 , H04L67/306
Abstract: Example passenger validation systems and methods are described. In one implementation, a method receives, at a vehicle, a transport request indicating a passenger and a pick-up location. The vehicle drives to the pick-up location and authenticates the passenger at the pick-up location. If the passenger is successfully authenticated, the method unlocks the vehicle doors to allow access to the vehicle, determines a number of people entering the vehicle, and confirms that the number of people entering the vehicle matches a number of passengers associated with the transport request.
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公开(公告)号：US20170371339A1
公开(公告)日：2017-12-28
申请号：US15195827
申请日：2016-06-28
Applicant: Ford Global Technologies, LLC
Inventor： Francois Charette , Scott Vincent Myers , Lisa Scaria , Alexandru Mihai Gurghian
CPC classification number: G05D1/0214 , B60R21/12 , B60R25/10 , B60W10/20 , B60W10/30 , B60W30/0956 , B60W50/0098 , B60W50/14 , B60W2050/143 , B60W2420/42 , B60W2420/52 , B60W2720/24 , G05D1/0088 , G05D2201/0213 , G08B13/19613 , G08B13/19647
Abstract: The present invention extends to methods, systems, and computer program products for detecting physical threats approaching a vehicle. External sensors on a vehicle capture the environment around the vehicle. Approaching targets detected by the external sensors can be fed into a neural network to recognize and/or classify approaching targets as potential threats. Tracking mechanisms (e.g., Kalman filters, Particle filters, etc.) can leverage temporal information to determine if a threat is approaching a vehicle. When an approaching threat is detected, a vehicle can activate one or more counter measures to deter the threat. When a vehicle includes autonomous driving capabilities, counter measures can include automatically attempting to drive away from an approaching threat.
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