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公开(公告)号：US20230225241A1
公开(公告)日：2023-07-20
申请号：US18011259
申请日：2021-06-23
Applicant: Alexander Steven FRICK , Michael Jason RAMSAY , David Arthur LAROSE , Stephen Paul Elizondo LANDERS , Zachary Irvin PARKER , David Ian ROBINSON , Christopher Charles OSTERWOOD , THE TORO COMPANY
Inventor： Alexander Steven Frick , Michael Jason Ramsay , David Arthur LaRose , Stephen Paul Elizondo Landers , Zachary Irvin Parker , David Ian Robinson , Christopher Charles Osterwood
CPC classification number: A01D34/008 , G05D1/0253 , G06T7/215 , G06T7/246 , A01D2101/00
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.
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公开(公告)号：US20200050208A1
公开(公告)日：2020-02-13
申请号：US16534515
申请日：2019-08-07
Applicant: THE TORO COMPANY
Inventor： 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
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.
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公开(公告)号：US20220253063A1
公开(公告)日：2022-08-11
申请号：US17732255
申请日：2022-04-28
Applicant: THE TORO COMPANY
Inventor： 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
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.
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公开(公告)号：US11334082B2
公开(公告)日：2022-05-17
申请号：US16534515
申请日：2019-08-07
Applicant: THE TORO COMPANY
Inventor： 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
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.
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