Invention Application
- Patent Title: AUTONOMOUS MACHINE NAVIGATION AND TRAINING USING VISION SYSTEM
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Application No.: PCT/US2019/045443Application Date: 2019-08-07
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Publication No.: WO2020033504A2Publication Date: 2020-02-13
- Inventor: FRICK, Alexander Steven , KRAFT, Jason Thomas , INGVALSON, Ryan Douglas , OSTERWOOD, Christopher Charles , LAROSE, David Arthur , PARKER, Zachary Irvin , WILLIAMS, Adam Richard , LANDERS, Stephen Paul Elizondo , RAMSAY, Michael Jason , BEYER, Brian Daniel
- Applicant: THE TORO COMPANY , FRICK, Alexander Steven , KRAFT, Jason Thomas , INGVALSON, Ryan Douglas , OSTERWOOD, Christopher Charles , LAROSE, David Arthur , PARKER, Zachary Irvin , WILLIAMS, Adam Richard , LANDERS, Stephen Paul Elizondo , RAMSAY, Michael Jason , BEYER, Brian Daniel
- Applicant Address: 8111 Lyndale Avenue South Bloomington, Minnesota 55420-1196 US
- Assignee: THE TORO COMPANY,FRICK, Alexander Steven,KRAFT, Jason Thomas,INGVALSON, Ryan Douglas,OSTERWOOD, Christopher Charles,LAROSE, David Arthur,PARKER, Zachary Irvin,WILLIAMS, Adam Richard,LANDERS, Stephen Paul Elizondo,RAMSAY, Michael Jason,BEYER, Brian Daniel
- Current Assignee: THE TORO COMPANY,FRICK, Alexander Steven,KRAFT, Jason Thomas,INGVALSON, Ryan Douglas,OSTERWOOD, Christopher Charles,LAROSE, David Arthur,PARKER, Zachary Irvin,WILLIAMS, Adam Richard,LANDERS, Stephen Paul Elizondo,RAMSAY, Michael Jason,BEYER, Brian Daniel
- Current Assignee Address: 8111 Lyndale Avenue South Bloomington, Minnesota 55420-1196 US
- Agency: PHAM, Vincent
- Priority: US62/716,208 20180808; US62/716,716 20180809; US62/741,988 20181005; US62/818,893 20190315
- Main IPC: A01D34/00
- IPC: A01D34/00 ; A01D34/82 ; G05D1/02
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
- WO2020033504A3 AUTONOMOUS MACHINE NAVIGATION AND TRAINING USING VISION SYSTEM Public/Granted day:2020-02-13
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