Patents by Inventor Gintaras Vincent Puskorius

Gintaras Vincent Puskorius 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).

  • Patent number: 10345822
    Abstract: A system, comprising a processor, and a memory, the memory including instructions to be executed by the processor to acquire the images of the vehicle environment, determine a cognitive map, which includes a top-down view of the vehicle environment, based on the image, and operate the vehicle based on the cognitive map.
    Type: Grant
    Filed: January 26, 2018
    Date of Patent: July 9, 2019
    Assignee: FORD GLOBAL TECHNOLOGIES, LLC
    Inventors: Mostafa Parchami, Vahid Taimouri, Gintaras Vincent Puskorius
  • Patent number: 10297251
    Abstract: An automatic speech recognition system for a vehicle includes a controller configured to select an acoustic model from a library of acoustic models based on ambient noise in a cabin of the vehicle and operating parameters of the vehicle. The controller is further configured to apply the selected acoustic model to noisy speech to improve recognition of the speech.
    Type: Grant
    Filed: January 21, 2016
    Date of Patent: May 21, 2019
    Assignee: Ford Global Technologies, LLC
    Inventors: Ali Hassani, Scott Andrew Amman, Francois Charette, Brigitte Frances Mora Richardson, Gintaras Vincent Puskorius, An Ji, Ranjani Rangarajan, John Edward Huber
  • Publication number: 20190108613
    Abstract: Techniques and examples pertaining to objection detection and trajectory prediction for autonomous vehicles are described. A processor receives an input stream of image frames and fuses a spatiotemporal input stream of the image frames and an appearance-based stream of the image frames using a deep neural network (DNN) to generate an augmented stream of the image frames. The processor performs object detection and trajectory prediction of one or more objects in the image frames based on the augmented stream.
    Type: Application
    Filed: October 6, 2017
    Publication date: April 11, 2019
    Inventors: Guy Hotson, Gintaras Vincent Puskorius, Vidya Nariyambut Murali, Gaurav Kumar Singh, Pol Llado
  • Publication number: 20190080206
    Abstract: The present invention extends to methods, systems, and computer program products for refining synthetic data with a Generative Adversarial Network (GAN) using auxiliary inputs. Refined synthetic data can be rendered more realistically than the original synthetic data. Refined synthetic data also retains annotation metadata and labeling metadata used for training of machine learning models. GANs can be extended to use auxiliary channels as inputs to a refiner network to provide hints about increasing the realism of synthetic data. Refinement of synthetic data enhances the use of synthetic data for additional applications.
    Type: Application
    Filed: September 8, 2017
    Publication date: March 14, 2019
    Inventors: Guy Hotson, Gintaras Vincent Puskorius, Vidya Nariyambut Murali
  • Publication number: 20190065944
    Abstract: A system includes a processor for performing one or more autonomous driving or assisted driving tasks based on a neural network. The neural network includes a base portion for performing feature extraction simultaneously for a plurality of tasks on a single set of input data. The neural network includes a plurality of subtask portions for performing the plurality of tasks based on feature extraction output from the base portion. Each of the plurality of subtask portions comprise nodes or layers of a neutral network trained on different sets of training data, and the base portion comprises nodes or layers of a neural network trained using each of the different sets of training data constrained by elastic weight consolidation to limit the base portion from forgetting a previously learned task.
    Type: Application
    Filed: August 25, 2017
    Publication date: February 28, 2019
    Inventors: Guy Hotson, Vidya Nariyambut Murali, Gintaras Vincent Puskorius
  • Patent number: 10096263
    Abstract: Methods, devices, and systems pertaining to in-vehicle tutorials are described. A method may involve receiving a request for an in-vehicle tutorial of an operational feature of a vehicle from a user and simulating expected driving behavior corresponding to the operational feature in the vehicle. The method may further include monitoring operational behavior of the user, comparing the operational behavior with the expected driving behavior, and providing a feedback to the user based on the comparison.
    Type: Grant
    Filed: September 2, 2015
    Date of Patent: October 9, 2018
    Inventors: Jinesh J Jain, Daniel Levine, Kyu Jeong Han, Gintaras Vincent Puskorius
  • Patent number: 9978399
    Abstract: A system includes a head and torso simulation (HATS) system configured to play back pre-recorded audio commands while simulating a driver head location as an output location. The system also includes a vehicle speaker system and a processor configured to engage a vehicle heating, ventilation and air-conditioning (HVAC) system. The processor is also configured to play back audio commands through the HATS system while playing back pre-recorded vehicle environment noises through the speaker system. The processor is further configured to determine if the audio command, recorded by a vehicle microphone, is recognizable in the presence of the environment noises and HVAC noises. Also, the processor is configured to repeat the engagement, playback of commands and noises, and determination, recording the results of the determination for each command in a set of commands.
    Type: Grant
    Filed: November 13, 2015
    Date of Patent: May 22, 2018
    Assignee: Ford Global Technologies, LLC
    Inventors: Scott Andrew Amman, Brigitte Frances Mora Richardson, Allan Miramonti, John Edward Huber, Francois Charette, Gintaras Vincent Puskorius
  • Publication number: 20180103318
    Abstract: Method and apparatus are disclosed for responding to HVAC-induced vehicle microphone buffeting. An example disclosed vehicle includes a microphone, a speaker, and a buffeting detector. The example microphone is electrically coupled to an input of a voice-activated system. The example speaker is located on a front driver side of the vehicle. The example buffeting detector, when a button is activated, determines a buffeting factor of a signal captured by the microphone. Additionally, the example buffeting detector, in response to the buffeting factor satisfying a threshold, activates a relay to electrically couple the speaker to the input of the voice-activated system.
    Type: Application
    Filed: October 11, 2016
    Publication date: April 12, 2018
    Inventors: Scott Andrew Amman, Alan Norton, Joshua Wheeler, Gintaras Vincent Puskorius, Ranjani Rangarajan
  • Publication number: 20180059679
    Abstract: Vehicles can be equipped to operate in both autonomous and occupant piloted mode. While operating in either mode, an array of sensors can be used to pilot the vehicle including stereo cameras and 3D sensors. Stereo camera and 3D sensors can also be employed to assist occupants while piloting vehicles. Deep convolutional neural networks can be employed to determine estimated depth maps from stereo images of scenes in real time for vehicles in autonomous and occupant piloted modes.
    Type: Application
    Filed: September 1, 2016
    Publication date: March 1, 2018
    Applicant: Ford Global Technologies, LLC
    Inventors: Vahid Taimouri, Michel Cordonnier, Kyoung Min Lee, Bryan Roger Goodman, Gintaras Vincent Puskorius
  • Publication number: 20180032902
    Abstract: Training tuples including text and a question and answer corresponding to the text are input to a machine learning algorithm, such as a deep neural network. A Q&A model is obtained that outputs questions and answers given an input text. The training tuples may be obtained from standardized test such that the text is a question prompt and the questions and answers are based on the prompt. Raw text is input to the Q&A model to obtain second training tuples including a question and an answer. An NLU model is trained according to the second training tuples. The NLU model may then be installed on a consumer device, which will then use the model to respond to conversational queries and provide an appropriate response.
    Type: Application
    Filed: July 27, 2016
    Publication date: February 1, 2018
    Inventors: Lakshmi Krishnan, Kyu Jeong Han, Francois Charette, Gintaras Vincent Puskorius
  • Patent number: 9852429
    Abstract: A method or system that receives a product definition that includes a feature family having data defining one or more product features. The product definition including one or more corresponding rules defining one or more relationships between one or more product features. The method or system receiving input selecting one or more feature families of interest. The method or system identifying the one or more rules that provide a relationship connecting the one or more feature families to the selected feature families of interest. The method or system converting the identified rules to one or more positive logic rule groups. The method or system generating one or more global representations of the product definition by interacting the one or more positive logic rule groups to produce a result that defines the relationship between the interacted positive logic rule groups and storing the results that are determined as being valid.
    Type: Grant
    Filed: March 15, 2013
    Date of Patent: December 26, 2017
    Assignee: Ford Global Technologies, LLC
    Inventors: James Beardslee, Jian Lin, Veera V. M. L. Ganesh Babu Alla, Gintaras Vincent Puskorius, Bryan Roger Goodman, Ravindranatha Kundoor, Yu-Ning Liu, Yakov M. Fradkin, Melinda Kaye Hunsaker
  • Patent number: 9836748
    Abstract: A method or system that receives a product definition that includes a feature family having data defining one or more product features. The product definition including one or more corresponding rules defining one or more relationships between one or more product features. The method or system receiving input selecting one or more feature families of interest. The method or system identifying the one or more rules that provide a relationship connecting the one or more feature families to the selected feature families of interest. The method or system converting the identified rules to one or more positive logic rule groups. The method or system generating one or more global representations of the product definition by interacting the one or more positive logic rule groups to produce a result that defines the relationship between the interacted positive logic rule groups and storing the results that are determined as being valid.
    Type: Grant
    Filed: March 15, 2013
    Date of Patent: December 5, 2017
    Assignee: Ford Global Technologies, LLC
    Inventors: James Beardslee, Veera V. M. L. Ganesh Babu Alla, Ravindranatha Kundoor, Gintaras Vincent Puskorius, Bryan Roger Goodman
  • Patent number: 9761223
    Abstract: At least one spoken utterance and a stored vehicle acoustic impulse response can be provided to a computing device. The computing device is programmed to provide at least one speech file based at least in part on the spoken utterance and the vehicle acoustic impulse response.
    Type: Grant
    Filed: October 13, 2014
    Date of Patent: September 12, 2017
    Assignee: FORD GLOBAL TECHNOLOGIES, LLC
    Inventors: Michael Alan Blommer, Scott Andrew Amman, Brigitte Frances Mora Richardson, Francois Charette, Mark Edward Porter, Gintaras Vincent Puskorius, Anthony Dwayne Cooprider
  • Publication number: 20170213551
    Abstract: A processor of a vehicle speech recognition system recognizes speech via domain-specific language and acoustic models. The processor further, in response to the acoustic model having a confidence score for recognized speech falling within a predetermined range defined relative to a confidence score for the domain-specific language model, recognizes speech via the acoustic model only.
    Type: Application
    Filed: January 25, 2016
    Publication date: July 27, 2017
    Inventors: An Ji, Scott Andrew Amman, Brigitte Frances Mora Richardson, John Edward Huber, Francois Charette, Ranjani Rangarajan, Gintaras Vincent Puskorius, Ali Hassani
  • Publication number: 20170213549
    Abstract: An automatic speech recognition system for a vehicle includes a controller configured to select an acoustic model from a library of acoustic models based on ambient noise in a cabin of the vehicle and operating parameters of the vehicle. The controller is further configured to apply the selected acoustic model to noisy speech to improve recognition of the speech.
    Type: Application
    Filed: January 21, 2016
    Publication date: July 27, 2017
    Inventors: Ali Hassani, Scott Andrew Amman, Francois Charette, Brigitte Frances Mora Richardson, Gintaras Vincent Puskorius, An Ji, Ranjani Rangarajan, John Edward Huber
  • Publication number: 20170140777
    Abstract: A system includes a head and torso simulation (HATS) system configured to play back pre-recorded audio commands while simulating a driver head location as an output location. The system also includes a vehicle speaker system and a processor configured to engage a vehicle heating, ventilation and air-conditioning (HVAC) system. The processor is also configured to play back audio commands through the HATS system while playing back pre-recorded vehicle environment noises through the speaker system. The processor is further configured to determine if the audio command, recorded by a vehicle microphone, is recognizable in the presence of the environment noises and HVAC noises.
    Type: Application
    Filed: November 13, 2015
    Publication date: May 18, 2017
    Inventors: Scott Andrew AMMAN, Brigitte Frances Mora RICHARDSON, Allan MIRAMONTI, John Edward HUBER, Francois CHARETTE, Gintaras Vincent PUSKORIUS
  • Publication number: 20170125038
    Abstract: A controller may be programmed to create a speech utterance set for speech recognition training by, in response to receiving data representing a neutral utterance and parameter values defining signal noise, generating data representing a Lombard effect version of the neutral utterance using a transfer function associated with the parameter values and defining distortion between neutral and Lombard effect versions of a same utterance due to the signal noise.
    Type: Application
    Filed: November 3, 2015
    Publication date: May 4, 2017
    Inventors: Ali Hassani, Scott Andrew Amman, Francois Charette, John Edward Huber, Brigitte Frances Mora Richardson, Gintaras Vincent Puskorius, An Ji, Ranjani Rangarajan
  • Publication number: 20170061826
    Abstract: Methods, devices, and systems pertaining to in-vehicle tutorials are described. A method may involve receiving a request for an in-vehicle tutorial of an operational feature of a vehicle from a user and simulating expected driving behavior corresponding to the operational feature in the vehicle. The method may further include monitoring operational behavior of the user, comparing the operational behavior with the expected driving behavior, and providing a feedback to the user based on the comparison.
    Type: Application
    Filed: September 2, 2015
    Publication date: March 2, 2017
    Inventors: Jinesh J. Jain, Daniel Levine, Kyu Jeong Han, Gintaras Vincent Puskorius
  • Publication number: 20160104479
    Abstract: At least one spoken utterance and a stored vehicle acoustic impulse response can be provided to a computing device. The computing device is programmed to provide at least one speech file based at least in part on the spoken utterance and the vehicle acoustic impulse response.
    Type: Application
    Filed: October 13, 2014
    Publication date: April 14, 2016
    Applicant: FORD GLOBAL TECHNOLOGIES, LLC
    Inventors: Michael Alan Bloomer, Scott Andrew Amman, Brigitte Frances Mora Richardson, Francois Charette, Mark Edward Porter, Gintaras Vincent Puskorius, Anthony Dwayne Cooprider
  • Publication number: 20160019904
    Abstract: This disclosure generally relates to a system, apparatus, and method for achieving an adaptive vehicle state-based hands free noise reduction feature. A noise reduction tool is provided for adaptively applying a noise reduction strategy on a sound input that uses feedback speech quality measures and machine learning to develop future noise reduction strategies, where the noise reduction strategies include analyzing vehicle operational state information and external information that are predicted to contribute to cabin noise and selecting noise reducing pre-filter options based on the analysis.
    Type: Application
    Filed: July 17, 2014
    Publication date: January 21, 2016
    Inventors: Francois Charette, Anthony Dwayne Cooprider, Paul J Joseph Nicastri, Yuksel Gur, Scott Andrew Amman, Gintaras Vincent Puskorius