Patents by Inventor Lisa Scaria
Lisa Scaria has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 11544635Abstract: 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.Type: GrantFiled: January 31, 2017Date of Patent: January 3, 2023Assignee: Ford Global Technologies, LLCInventors: Lisa Scaria, Candice Xu, Brielle Reiff, Henry Salvatore Savage, Sarah Houts, Jinhyong Oh, Erick Michael Lavoie
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Patent number: 11410667Abstract: A speech conversion system is described that includes a hierarchical encoder and a decoder. The system may comprise a processor and memory storing instructions executable by the processor. The instructions may comprise to: using a second recurrent neural network (RNN) (GRU1) and a first set of encoder vectors derived from a spectrogram as input to the second RNN, determine a second concatenated sequence; determine a second set of encoder vectors by doubling a stack height and halving a length of the second concatenated sequence; using the second set of encoder vectors, determine a third set of encoder vectors; and decode the third set of encoder vectors using an attention block.Type: GrantFiled: June 28, 2019Date of Patent: August 9, 2022Assignee: Ford Global Technologies, LLCInventors: Punarjay Chakravarty, Lisa Scaria, Ryan Burke, Francois Charette, Praveen Narayanan
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Patent number: 11247673Abstract: 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.Type: GrantFiled: July 9, 2019Date of Patent: February 15, 2022Assignee: FORD GLOBAL TECHNOLOGIES, LLCInventors: Nikhil Nagraj Rao, Scott Vincent Myers, Lisa Scaria, Harpreetsingh Banvait
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Patent number: 11145043Abstract: The present invention extends to methods, systems, and computer program products for using Unmanned Aerial Vehicles (UAVs) to inspect autonomous vehicles. An autonomous vehicle carries a UAV (or “drone”) in a protected area, for example, in a glove compartment, trunk, etc. Between rides, the UAV can be deployed to inspect the autonomous vehicle. Images from the UAV can be sent to other components for image analysis. When an inspection is completed, the UAV can return to the protected area. The UAV can inspect both the interior and exterior of an autonomous vehicle. When an inspection is passed, the autonomous vehicle can begin a new ride. When an inspection is failed, the autonomous vehicle can report for repairs or summon a tow vehicle.Type: GrantFiled: October 24, 2016Date of Patent: October 12, 2021Assignee: Ford Motor CompanyInventors: Scott Vincent Myers, Mark Crawford, Harpreetsingh Banvait, Alexandru Mihai Gurghian, Nikhil Nagraj Rao, Alexandro Walsh, Lisa Scaria
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Patent number: 11069161Abstract: 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.Type: GrantFiled: September 30, 2019Date of Patent: July 20, 2021Assignee: FORD GLOBAL TECHNOLOGIES, LLCInventors: Iman Soltani Bozchalooi, Francis Assadian, Lisa Scaria
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Publication number: 20210097783Abstract: 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.Type: ApplicationFiled: September 30, 2019Publication date: April 1, 2021Applicant: Ford Global Technologies, LLCInventors: Iman Soltani Bozchalooi, Francis Assadian, Lisa Scaria
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Patent number: 10957317Abstract: 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.Type: GrantFiled: October 18, 2018Date of Patent: March 23, 2021Assignee: Ford Global Technologies, LLCInventors: Lisa Scaria, Ryan Burke, Praveen Narayanan, Francois Charette
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Patent number: 10937438Abstract: 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.Type: GrantFiled: March 29, 2018Date of Patent: March 2, 2021Assignee: FORD GLOBAL TECHNOLOGIES, LLCInventors: Praveen Narayanan, Lisa Scaria, Francois Charette, Ashley Elizabeth Micks, Ryan Burke
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Patent number: 10891951Abstract: A computing system can translate a spoken natural language command into an intermediate constructed language command with a first deep neural network and determine a vehicle command and an intermediate constructed language response with a second deep neural network based on receiving vehicle information. The computing system can translate the intermediate constructed language response into a spoken natural language response with a third deep neural network and operate a vehicle based on the vehicle command.Type: GrantFiled: October 17, 2018Date of Patent: January 12, 2021Assignee: FORD GLOBAL TECHNOLOGIES, LLCInventors: Lisa Scaria, Praveen Narayanan, Francois Charette, Ryan Burke
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Patent number: 10891949Abstract: A computing system can be programmed to receive a spoken language command in response to emitting a spoken language cue and process the spoken language command with a generalized adversarial neural network (GAN) to determine a vehicle command. The computing system can be further programmed to operate a vehicle based on the vehicle command.Type: GrantFiled: September 10, 2018Date of Patent: January 12, 2021Assignee: FORD GLOBAL TECHNOLOGIES, LLCInventors: Praveen Narayanan, Lisa Scaria, Ryan Burke, Francois Charette, Punarjay Chakravarty, Kaushik Balakrishnan
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Publication number: 20200411018Abstract: A speech conversion system is described that includes a hierarchical encoder and a decoder. The system may comprise a processor and memory storing instructions executable by the processor. The instructions may comprise to: using a second recurrent neural network (RNN) (GRU1) and a first set of encoder vectors derived from a spectrogram as input to the second RNN, determine a second concatenated sequence; determine a second set of encoder vectors by doubling a stack height and halving a length of the second concatenated sequence; using the second set of encoder vectors, determine a third set of encoder vectors; and decode the third set of encoder vectors using an attention block.Type: ApplicationFiled: June 28, 2019Publication date: December 31, 2020Applicant: Ford Global Technologies, LLCInventors: Punarjay Chakravarty, Lisa Scaria, Ryan Burke, Francois Charette, Praveen Narayanan
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Patent number: 10832067Abstract: 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.Type: GrantFiled: August 20, 2018Date of Patent: November 10, 2020Assignee: FORD GLOBAL TECHNOLOGIES, LLCInventors: Scott Vincent Myers, Alexandro Walsh, Francois Charette, Lisa Scaria
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Publication number: 20200126544Abstract: A computing system can translate a spoken natural language command into an intermediate constructed language command with a first deep neural network and determine a vehicle command and an intermediate constructed language response with a second deep neural network based on receiving vehicle information. The computing system can translate the intermediate constructed language response into a spoken natural language response with a third deep neural network and operate a vehicle based on the vehicle command.Type: ApplicationFiled: October 17, 2018Publication date: April 23, 2020Applicant: Ford Global Technologies, LLCInventors: Lisa Scaria, Praveen Narayanan, Francois Charette, Ryan Burke
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Publication number: 20200126546Abstract: 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.Type: ApplicationFiled: October 18, 2018Publication date: April 23, 2020Applicant: Ford Global Technologies, LLCInventors: LISA SCARIA, RYAN BURKE, PRAVEEN NARAYANAN, FRANCOIS CHARETTE
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Publication number: 20200082817Abstract: A computing system can be programmed to receive a spoken language command in response to emitting a spoken language cue and process the spoken language command with a generalized adversarial neural network (GAN) to determine a vehicle command. The computing system can be further programmed to operate a vehicle based on the vehicle command.Type: ApplicationFiled: September 10, 2018Publication date: March 12, 2020Applicant: Ford Global Technologies, LLCInventors: Praveen Narayanan, Lisa Scaria, Ryan Burke, Francois Charette, Punarjay Chakravarty, Kaushik Balakrishnan
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Publication number: 20190370701Abstract: 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.Type: ApplicationFiled: January 31, 2017Publication date: December 5, 2019Inventors: Lisa SCARIA, Candice XU, Brielle REIFF, Henry Salvatore SAVAGE, Sarah HOUTS, Jinhyong OH, Erick Michael LAVOIE
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Publication number: 20190329767Abstract: 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.Type: ApplicationFiled: July 9, 2019Publication date: October 31, 2019Inventors: Nikhil Nagraj Rao, Scott Vincent Myers, Lisa Scaria, Harpreetsingh Banvait
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Publication number: 20190304480Abstract: 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.Type: ApplicationFiled: March 29, 2018Publication date: October 3, 2019Inventors: Praveen Narayanan, Lisa Scaria, Francois Charette, Ashley Elizabeth Micks, Ryan Burke
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Publication number: 20190266715Abstract: The present invention extends to methods, systems, and computer program products for using Unmanned Aerial Vehicles (UAVs) to inspect autonomous vehicles. An autonomous vehicle carries a UAV (or “drone”) in a protected area, for example, in a glove compartment, trunk, etc. Between rides, the UAV can be deployed to inspect the autonomous vehicle. Images from the UAV can be sent to other components for image analysis. When an inspection is completed, the UAV can return to the protected area. The UAV can inspect both the interior and exterior of an autonomous vehicle. When an inspection is passed, the autonomous vehicle can begin a new ride. When an inspection is failed, the autonomous vehicle can report for repairs or summon a tow vehicle.Type: ApplicationFiled: October 24, 2016Publication date: August 29, 2019Inventors: Scott Vincent MYERS, Mark CRAWFORD, Harpreetsingh BANVAIT, Alexandru Mihai GURGHIAN, Nikhil NAGRAJ RAO, Alexandro WALSH, Lisa SCARIA
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Patent number: 10392011Abstract: 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.Type: GrantFiled: January 20, 2017Date of Patent: August 27, 2019Assignee: FORD GLOBAL TECHNOLOGIES, LLCInventors: Nikhil Nagraj Rao, Scott Vincent Myers, Lisa Scaria, Harpreetsingh Banvait