Patents by Inventor Michael Jason Ramsay

Michael Jason Ramsay 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: 20230225241
    Abstract: Vision systems for autonomous machines and methods of using same during machine localization are provided. Exemplary systems and methods may reduce computing resources needed to perform vision-based localization by selecting the most appropriate camera from two or more cameras, and optionally selecting only a portion of the selected camera's field of view, from which to perform vision-based location correction. Other embodiments may provide camera lens coverings that maintain optical clarity while operating within debris-filled environments.
    Type: Application
    Filed: June 23, 2021
    Publication date: July 20, 2023
    Inventors: Alexander Steven Frick, Michael Jason Ramsay, David Arthur LaRose, Stephen Paul Elizondo Landers, Zachary Irvin Parker, David Ian Robinson, Christopher Charles Osterwood
  • Patent number: 11695909
    Abstract: A method for obtaining a three-dimensional model of an inspection site, using a perception module, is disclosed. The perception module comprises a detection unit, e.g. comprising one or more cameras and/or a three-dimensional laser scanner, configured to obtain a three-dimensional image. At least one three-dimensional image is obtained by means of the detection unit. A three-dimensional model of surroundings of the perception module is created, based on the obtained three-dimensional image. The created three-dimensional model and a plan of the inspection site are compared and features of the created three-dimensional model and features of the plan of the inspection site are matched. A site-specific three-dimensional model of the inspection site is formed, based on the created three-dimensional model and the plan of the inspection site, and based on the comparison.
    Type: Grant
    Filed: January 29, 2021
    Date of Patent: July 4, 2023
    Assignee: CARNEGIE ROBOTICS, LLC
    Inventors: Michael Jason Ramsay, Daniel David Williams, Anil Harish, David LaRose
  • Publication number: 20220253063
    Abstract: Autonomous machine navigation techniques may generate a three-dimensional point cloud that represents at least a work region based on feature data and matching data. Pose data associated with points of the three-dimensional point cloud may be generated that represents poses of an autonomous machine. A boundary may be determined using the pose data for subsequent navigation of the autonomous machine in the work region. Non-vision-based sensor data may be used to determine a pose. The pose may be updated based on the vision-based pose data. The autonomous machine may be navigated within the boundary of the work region based on the updated pose. The three-dimensional point cloud may be generated based on data captured during a touring phase. Boundaries may be generated based on data captured during a mapping phase.
    Type: Application
    Filed: April 28, 2022
    Publication date: August 11, 2022
    Inventors: Alexander Steven Frick, Jason Thomas Kraft, Ryan Douglas Ingvalson, Christopher Charles Osterwood, David Arthur LaRose, Zachary Irvin Parker, Adam Richard Williams, Stephen Paul Elizondo Landers, Michael Jason Ramsay, Brian Daniel Beyer
  • Publication number: 20220151144
    Abstract: Autonomous machine (100) navigation techniques include using simulation to configure camera (133) capture parameters. A method may include capturing image data of a scene, generating irradiance image data, determining at least one test camera capture parameter, determining a simulated scene parameter, and generating at least one updated camera capture parameter. Image data for camera capture configuration may be captured while the autonomous machine is moving. Camera (133) captures parameters may be used to capture images while the autonomous machine (100) is slowed or stopped, particularly in lowlight conditions.
    Type: Application
    Filed: April 9, 2020
    Publication date: May 19, 2022
    Inventors: Michael Jason Ramsay, David Arthur LaRose, Zachary Irvin Parker, Matthew John Alvarado, Stephen Paul Elizondo Landers, David Ian Robinson
  • Patent number: 11334082
    Abstract: Autonomous machine navigation techniques may generate a three-dimensional point cloud that represents at least a work region based on feature data and matching data. Pose data associated with points of the three-dimensional point cloud may be generated that represents poses of an autonomous machine. A boundary may be determined using the pose data for subsequent navigation of the autonomous machine in the work region. Non-vision-based sensor data may be used to determine a pose. The pose may be updated based on the vision-based pose data. The autonomous machine may be navigated within the boundary of the work region based on the updated pose. The three-dimensional point cloud may be generated based on data captured during a touring phase. Boundaries may be generated based on data captured during a mapping phase.
    Type: Grant
    Filed: August 7, 2019
    Date of Patent: May 17, 2022
    Assignee: THE TORO COMPANY
    Inventors: Alexander Steven Frick, Jason Thomas Kraft, Ryan Douglas Ingvalson, Christopher Charles Osterwood, David Arthur LaRose, Zachary Irvin Parker, Adam Richard Williams, Stephen Paul Elizondo Landers, Michael Jason Ramsay, Brian Daniel Beyer
  • Publication number: 20200050208
    Abstract: Autonomous machine navigation techniques may generate a three-dimensional point cloud that represents at least a work region based on feature data and matching data. Pose data associated with points of the three-dimensional point cloud may be generated that represents poses of an autonomous machine. A boundary may be determined using the pose data for subsequent navigation of the autonomous machine in the work region. Non-vision-based sensor data may be used to determine a pose. The pose may be updated based on the vision-based pose data. The autonomous machine may be navigated within the boundary of the work region based on the updated pose. The three-dimensional point cloud may be generated based on data captured during a touring phase. Boundaries may be generated based on data captured during a mapping phase.
    Type: Application
    Filed: August 7, 2019
    Publication date: February 13, 2020
    Inventors: Alexander Steven Frick, Jason Thomas Kraft, Ryan Douglas Ingvalson, Christopher Charles Osterwood, David Arthur LaRose, Zachary Irvin Parker, Adam Richard Williams, Stephen Paul Elizondo Landers, Michael Jason Ramsay, Brian Daniel Beyer