Patents by Inventor Collin Hurley

Collin Hurley 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: 12007248
    Abstract: Upon determining a mobile object is approaching an ice layer above a body of water, a thermal image of the ice layer is obtained. The thermal image and ambient temperature data are input to a neural network that outputs a plurality of regions of the ice layer and respective estimated thicknesses for the regions. A classification for each region is determined based on its estimated thickness and the mobile object. The classification is one of preferred or nonpreferred. The classifications for the regions are output.
    Type: Grant
    Filed: March 3, 2022
    Date of Patent: June 11, 2024
    Assignee: Ford Global Technologies, LLC
    Inventors: Arun Dutta, Nithya Somanath, Colleen Cauvet, Collin Hurley, David Hamilton, Donald Paul Bilger, Javier Onate
  • Publication number: 20240140462
    Abstract: A system for mitigating glare from at least one light source while driving a vehicle. The system includes determining an occurrence of a glare condition based on, at least in part, a visible light video stream generated by a visible light sensor. Upon determining the occurrence of the glare condition, indicia are presented at the vehicle display to assist in navigation of the vehicle.
    Type: Application
    Filed: October 26, 2022
    Publication date: May 2, 2024
    Applicant: Ford Global Technologies, LLC
    Inventors: Brian Bennie, David Hiskens, Collin Hurley, Mark Gehrke, Jonathan Diedrich
  • Publication number: 20230280181
    Abstract: Upon determining a mobile object is approaching an ice layer above a body of water, a thermal image of the ice layer is obtained. The thermal image and ambient temperature data are input to a neural network that outputs a plurality of regions of the ice layer and respective estimated thicknesses for the regions. A classification for each region is determined based on its estimated thickness and the mobile object. The classification is one of preferred or nonpreferred. The classifications for the regions are output.
    Type: Application
    Filed: March 3, 2022
    Publication date: September 7, 2023
    Applicant: Ford Global Technologies, LLC
    Inventors: Arun Dutta, Nithya Somanath, Colleen Cauvet, Collin Hurley, David Hamilton, Donald Paul Bilger, Javier Onate
  • Publication number: 20230064450
    Abstract: First objects are detected in an infrared image from an infrared camera and second objects are detected in a color image from a color camera. The first objects are compared with the second objects to determine pairs of matching first objects and second objects. For each matching pair, a respective region of an output image is colorized by setting colors of pixels in the region based on colors of the pixels of the second object in the matching pair. The pixels in the region have locations corresponding to the locations of the pixels in the first object of the matching pair. When the colorizing is complete, pixels not in the colorized regions have intensities of the infrared image. The output image is a version of the infrared image with a region colorized according to the color image.
    Type: Application
    Filed: August 28, 2021
    Publication date: March 2, 2023
    Applicant: Ford Global Technologies, LLC
    Inventors: David Hiskens, Collin Hurley, Mark Gehrke, Jonathan Diedrich