Patents by Inventor David Michael Herman

David Michael Herman 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).

  • Publication number: 20220176902
    Abstract: A computer comprises a processor and a memory. The memory stores instructions executable by the processor to, upon detecting an airbag deployment in a vehicle, determine an airbag inflation state based on vehicle sensor data, to adjust a calibration parameter of a vehicle radar sensor based on the determined airbag inflation state, to operate the vehicle radar sensor based on the adjusted calibration parameter, and to update an output characteristic of the radar sensor for operating the vehicle based on the determined airbag inflation state.
    Type: Application
    Filed: December 3, 2020
    Publication date: June 9, 2022
    Applicant: Ford Global Technologies, LLC
    Inventors: David Michael Herman, Brian Quinn Kettlewell
  • Patent number: 11356617
    Abstract: A computer includes a processor and a memory storing instructions executable by the processor to input strain data measuring mechanical strain on a vehicle camera and operation data of a vehicle component, the operation data describing at least one of an output or a state of the vehicle component, to a machine learning program that outputs a displacement of the vehicle camera from a neutral position based on the strain data and the operation data. The instructions further include instructions to identify a transformation matrix that transforms data from the vehicle camera to a coordinate system of the vehicle camera in the neutral position based on the output displacement of the vehicle camera, to apply the transformation matrix to data collected by the vehicle camera to generate transformed data, and to actuate one of the vehicle component or a second vehicle component based on the transformed data.
    Type: Grant
    Filed: August 18, 2020
    Date of Patent: June 7, 2022
    Assignee: FORD GLOBAL TECHNOLOGIES, LLC
    Inventors: David Michael Herman, Aaron Lesky, Ronald Beras, Ashwin Arunmozhi, Venkatesh Krishnan
  • Patent number: 11351917
    Abstract: Method and apparatus are disclosed for vehicle-rendering generation for vehicle display based on short-range communication. An example vehicle includes a communication module configured to wirelessly communicate with remote sensing devices, a display configured to present a vehicle rendering of the vehicle, and a controller. The controller is configured to, in response to detecting an activation event, collect sensing data via the communication module. The controller also is configured to determine whether an object is coupled to the vehicle based on the sensing data and, in response to detecting an object coupled to the vehicle, modify the vehicle rendering to include an object rendering of the object.
    Type: Grant
    Filed: February 13, 2019
    Date of Patent: June 7, 2022
    Assignee: Ford Global Technologies, LLC
    Inventor: David Michael Herman
  • Publication number: 20220136474
    Abstract: Methods and systems are provided for selectively inhibiting a stop-start controller of a vehicle based on a predicted anxiety of a driver of the vehicle on a road segment that includes one or more road attributes associated with increased levels of anxiety. In one example, selectively inhibiting a stop-start controller of a vehicle based on a predicted anxiety of a driver of the vehicle includes determining a driver classification for a driver operating the vehicle; predicting an anxiety level of the driver at an upcoming traffic condition, based on the driver classification; and selectively inhibiting an upcoming engine idle-stop event based on the predicted anxiety level of the driver.
    Type: Application
    Filed: November 4, 2020
    Publication date: May 5, 2022
    Inventors: David Alfred Ostrowski, Sanjay Abhyankar, Leopoldo Urbina, Sheida Malekpour, Christopher Leon Jones, David Michael Herman
  • Publication number: 20220128466
    Abstract: A system, comprising a processor and a memory. The memory stores instructions executable by the processor to determine, from an image including a portion of a surface of a human body, a reflected light intensity from the body surface portion, determine, a skin reflectance of the body surface portion based on a location of the body surface, a light source, and an image sensor location, and to determine, for the body surface portion, an incoming radiance, based on the skin reflectance and the reflected light intensity.
    Type: Application
    Filed: October 22, 2020
    Publication date: April 28, 2022
    Applicant: Ford Global Technologies, LLC
    Inventors: Avrokin Surnilla, David Michael Herman, John Craig Elson, Scott Andrew Amman, Nikhitha Bekkanti, Michael Monforton
  • Patent number: 11312372
    Abstract: A system, comprising a computer that includes a processor and a memory, the memory storing instructions executable by the processor to input second vehicle sensor data received via one or more of vehicle-to-vehicle (V-to-V) and vehicle-to-infrastructure (V-to-I) networking into a generative query neural network (GQN) trained to generate second vehicle viewpoint data and predict a path for a second vehicle based on the second vehicle viewpoint data with a reinforcement learning deep neural network (RLDNN). The computer can be further programmed to obtain a confidence for the predicted second vehicle path from a Bayesian framework applied to the RLDNN and determine a first vehicle path based on the predicted second vehicle path and the confidence.
    Type: Grant
    Filed: April 16, 2019
    Date of Patent: April 26, 2022
    Assignee: Ford Global Technologies, LLC
    Inventors: David Michael Herman, Ashwin Arunmozhi, Venkatesh Krishnan
  • Publication number: 20220121950
    Abstract: A computer includes a processor and a memory. The memory stores instructions executable by the processor such that the computer is programmed to input to a trained machine learning program, (1) a sensor fusion error that measures a statistical correlation of data received from a radar sensor and a second sensor in a vehicle, (2) a radar detection range, (3) an amount of reflection from a radar radome, (4) weather data, and (5) aerodynamic data that measures an aerodynamic drag opposing a vehicle motion, and to output from the trained machine learning program a determination concerning a presence of the radar radome.
    Type: Application
    Filed: October 21, 2020
    Publication date: April 21, 2022
    Applicant: Ford Global Technologies, LLC
    Inventors: David Michael Herman, Brian Quinn Kettlewell
  • Publication number: 20220121210
    Abstract: The present disclosure relates to a system and a method for addressing an error in a localization system that includes monitoring a plurality of sensors of a driver assistance system in real-time, with each sensor generating a data stream. The method further includes identifying a sensor having an anomalous data stream and calculating a primary localization and a backup localization. The primary localization calculation includes the anomalous data stream and the backup localization calculation does not include the anomalous data stream. Further, the method includes executing an action when the backup localization error estimate exceeds a threshold.
    Type: Application
    Filed: October 15, 2020
    Publication date: April 21, 2022
    Applicant: Ford Global Technologies, LLC
    Inventors: David Michael Herman, Yashanshu Jain, Brian Quinn Kettlewell, Ali Husain, Ashwin Arunmozhi
  • Patent number: 11281217
    Abstract: A computer includes a processor and a memory, the memory storing instructions executable by the processor to predict a user arrival time based on data of a user and a user origin location, deactivate a propulsion of the vehicle upon arriving at the user origin location, and deactivate one or more additional vehicle components based on the user arrival time.
    Type: Grant
    Filed: June 25, 2019
    Date of Patent: March 22, 2022
    Assignee: FORD GLOBAL TECHNOLOGIES, LLC
    Inventors: David Michael Herman, Daniel A. Makled, Michael Mcquillen, Ashwin Arunmozhi, Michael Adel Awad Alla, Ray Siciak, Bo Wu
  • Publication number: 20220063569
    Abstract: A system comprises a processor and a memory. The memory stores instructions executable by the processor to determine a baseline polarization for a surface of a material based on a first polarimetric image of the surface, to determine a second polarization for the surface based on a second polarimetric image of the surface, to determine, based on the baseline polarization data and the second polarization data, that there is a wet area on the surface, and upon determining the wet area, actuate an actuator to cause a clean the surface.
    Type: Application
    Filed: August 27, 2020
    Publication date: March 3, 2022
    Applicant: Ford Global Technologies, LLC
    Inventors: David Michael Herman, Aaron Lesky, Ronald Beras, Nathaniel Martin Pressel
  • Publication number: 20220065652
    Abstract: Systems, methods, and computer-readable media are disclosed for increasing solar power generation during vehicle parking. Example methods may include determining that a first parking spot and a second parking spot are available within a line of sight via a vehicle sensor, determining a parking duration based on a user profile and a current location of the vehicle, determining a first shading area for the first parking spot and a second shading area the second areas based on the parking duration, determining, based on the first shading area and the second shading area, potential power generation at the first parking spot and the second parking spot during the parking duration, and determining, based on the potential power generation at the first parking spot and the second parking spot during the parking duration, which parking spot to park.
    Type: Application
    Filed: August 26, 2020
    Publication date: March 3, 2022
    Applicant: Ford Global Technologies, LLC
    Inventor: David Michael Herman
  • Publication number: 20220060641
    Abstract: A computer includes a processor and a memory storing instructions executable by the processor to input strain data measuring mechanical strain on a vehicle camera and operation data of a vehicle component, the operation data describing at least one of an output or a state of the vehicle component, to a machine learning program that outputs a displacement of the vehicle camera from a neutral position based on the strain data and the operation data. The instructions further include instructions to identify a transformation matrix that transforms data from the vehicle camera to a coordinate system of the vehicle camera in the neutral position based on the output displacement of the vehicle camera, to apply the transformation matrix to data collected by the vehicle camera to generate transformed data, and to actuate one of the vehicle component or a second vehicle component based on the transformed data.
    Type: Application
    Filed: August 18, 2020
    Publication date: February 24, 2022
    Applicant: Ford Global Technologies, LLC
    Inventors: David Michael Herman, Aaron Lesky, Ronald Beras, Ashwin Arunmozhi, Venkatesh Krishnan
  • Patent number: 11254316
    Abstract: A location of a light source outside a field of view of a polarimetric image of a vehicle interior can be determined. Then, upon (a) determining, based on the polarimetric image, that the light source is other than vehicle lighting or an exterior source and (b) detecting a vehicle occupant, a vehicle actuator can be actuated based on a determined location of the light source.
    Type: Grant
    Filed: January 24, 2020
    Date of Patent: February 22, 2022
    Assignee: Ford Global Technologies, LLC
    Inventor: David Michael Herman
  • Patent number: 11235768
    Abstract: A system includes a computer including a processor programmed to identify, based on data from first sensors included in a first vehicle, that a second vehicle proximate to a route of the first vehicle is stationary. The processor is further programmed to receive, from second sensors included in the first vehicle, transient velocity data from the second vehicle; and determine an operating condition of the second vehicle based on the transient velocity data.
    Type: Grant
    Filed: July 25, 2019
    Date of Patent: February 1, 2022
    Assignee: Ford Global Technologies, LLC
    Inventors: David Michael Herman, Ashwin Arunmozhi, Aaron Lesky, Ronald Beras
  • Publication number: 20210374998
    Abstract: A system includes a processor configured to request capture of image data of an environment surrounding the user, responsive to a margin of error of a detected location of a user being above a predefined threshold. The processor is also configured to process the image data to determine an actual user location relative to a plurality of objects, having known positions, identifiable in the image data and replace the detected location with the determined actual user location.
    Type: Application
    Filed: August 18, 2021
    Publication date: December 2, 2021
    Inventors: David Michael HERMAN, David Joseph ORRIS, Stephen Jay ORRIS, JR.
  • Patent number: 11175156
    Abstract: A system includes a processor configured to receive image data of a scene around a user location, including identification of a plurality of vehicle objects within the image. The processor is also configured to process the image data to determine where stopping spaces, not occupied by vehicle objects, exist within the image. The processor is further configured to select a determined stopping space and provide the selected stopping space to a passenger and driver to arrange a pickup location for a ride request.
    Type: Grant
    Filed: December 12, 2018
    Date of Patent: November 16, 2021
    Assignee: Ford Global Technologies, LLC
    Inventors: David Michael Herman, Stephen Jay Orris, Jr., David Joseph Orris
  • Publication number: 20210344887
    Abstract: The present disclosure discloses a system and a method for mitigating image distortion. In an example implementation, the system and the method can receive vehicle state data and vehicle inertial measurement data; generate an image distortion prediction indicative of image distortion within an image captured by the image capture assembly based on the vehicle state data and the vehicle inertial measurement data; and at least one of correct or mitigate the image distortion based on the image distortion prediction.
    Type: Application
    Filed: April 30, 2020
    Publication date: November 4, 2021
    Applicant: Ford Global Technologies, LLC
    Inventors: David Michael Herman, Aaron Lesky, Ronald Beras
  • Patent number: 11166003
    Abstract: The present disclosure discloses a system and a method for mitigating image distortion. In an example implementation, the system and the method can receive vehicle state data and vehicle inertial measurement data; generate an image distortion prediction indicative of image distortion within an image captured by the image capture assembly based on the vehicle state data and the vehicle inertial measurement data; and at least one of correct or mitigate the image distortion based on the image distortion prediction.
    Type: Grant
    Filed: April 30, 2020
    Date of Patent: November 2, 2021
    Assignee: Ford Global Technologies, LLC
    Inventors: David Michael Herman, Aaron Lesky, Ronald Beras
  • Patent number: 11157114
    Abstract: A computer includes a processor and a memory, the memory storing instructions executable by the processor to project an icon onto a surface having a pattern, capture an image of the icon and the pattern, identify a change between the pattern in the image and a default pattern, identify a user input based on the change from the default pattern, and actuate a component based on the user input.
    Type: Grant
    Filed: September 17, 2020
    Date of Patent: October 26, 2021
    Assignee: FORD GLOBAL TECHNOLOGIES, LLC
    Inventors: David Michael Herman, Nicholas Alexander Scheufler, Nunzio DeCia
  • Patent number: 11127162
    Abstract: A system includes a processor configured to request capture of image data of an environment surrounding the user, responsive to a margin of error of a detected location of a user being above a predefined threshold. The processor is also configured to process the image data to determine an actual user location relative to a plurality of objects, having known positions, identifiable in the image data and replace the detected location with the determined actual user location.
    Type: Grant
    Filed: November 26, 2018
    Date of Patent: September 21, 2021
    Assignee: Ford Global Technologies, LLC
    Inventors: David Michael Herman, David Joseph Orris, Stephen Jay Orris, Jr.