Patents by Inventor Brian Daniel Beyer

Brian Daniel Beyer 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).

  • AUTONOMOUS MACHINE NAVIGATION AND TRAINING USING VISION SYSTEM
    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
  • Autonomous machine navigation and training using vision system
    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
  • AUTONOMOUS MACHINE NAVIGATION AND TRAINING USING VISION SYSTEM
    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