Invention Grant
- Patent Title: Autonomous machine navigation and training using vision system
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Application No.: US16534515Application Date: 2019-08-07
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Publication No.: US11334082B2Publication Date: 2022-05-17
- 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
- Applicant: THE TORO COMPANY
- Applicant Address: US MN Bloomington
- Assignee: THE TORO COMPANY
- Current Assignee: THE TORO COMPANY
- Current Assignee Address: US MN Bloomington
- Agency: Mueting Raasch Group
- Main IPC: G05D1/02
- IPC: G05D1/02 ; G05D1/00 ; G01C21/32 ; A01D34/00 ; A01D34/82 ; A01D34/69 ; A01D34/78 ; A01D101/00

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.
Public/Granted literature
- US20200050208A1 AUTONOMOUS MACHINE NAVIGATION AND TRAINING USING VISION SYSTEM Public/Granted day:2020-02-13
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