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公开(公告)号:US20220192076A1
公开(公告)日:2022-06-23
申请号:US17126764
申请日:2020-12-18
Applicant: Blue River Technology Inc.
Inventor: Divya Sharma , Michael Albert Elcano , Byron Gajun Ho , Jeremy Douglas Krantz , Tyler Niday , Robert Joseph Plumeau
Abstract: A detection system detects malfunctions in an autonomous farming vehicle during an autonomous routine using one or more models and data from sensors coupled to the autonomous farming vehicle. The models may include machine-learned models trained on the sensor data and configured to identify objects indicative of an operational or malfunctioning component within a tilling assembly such as a tilling shank or sweep. Additionally, a machine-learned model may be trained on sensor data to detect whether debris has plugged the tilling assembly of the autonomous farming vehicle. In response to detecting a malfunction or a plug, the detection system may modify the autonomous routine (e.g., pausing operation) or provide information for the malfunction to be addressed (e.g., the likely location of a malfunctioning sweep that has detached from the tilling assembly).
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公开(公告)号:US20220198643A1
公开(公告)日:2022-06-23
申请号:US17126800
申请日:2020-12-18
Applicant: Blue River Technology Inc.
Inventor: Divya Sharma , Michael Albert Elcano , Byron Gajun Ho , Jeremy Douglas Krantz , Tyler Niday , Robert Joseph Plumeau
IPC: G06T7/00 , G06K9/62 , H04N13/204 , G06T7/593 , A01B79/00 , A01B3/26 , G06N20/00 , G06K7/10 , G06K19/07
Abstract: A detection system detects malfunctions in an autonomous farming vehicle during an autonomous routine using one or more models and data from sensors coupled to the autonomous farming vehicle. The models may include machine-learned models trained on the sensor data and configured to identify objects indicative of an operational or malfunctioning component within a tilling assembly such as a tilling shank or sweep. Additionally, a machine-learned model may be trained on sensor data to detect whether debris has plugged the tilling assembly of the autonomous farming vehicle. In response to detecting a malfunction or a plug, the detection system may modify the autonomous routine (e.g., pausing operation) or provide information for the malfunction to be addressed (e.g., the likely location of a malfunctioning sweep that has detached from the tilling assembly).
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公开(公告)号:US11972551B2
公开(公告)日:2024-04-30
申请号:US17126800
申请日:2020-12-18
Applicant: Blue River Technology Inc.
Inventor: Divya Sharma , Michael Albert Elcano , Byron Gajun Ho , Jeremy Douglas Krantz , Tyler Niday , Robert Joseph Plumeau
IPC: G06T7/00 , A01B3/26 , A01B79/00 , G06F18/214 , G06F18/24 , G06K7/10 , G06K19/07 , G06N20/00 , G06T7/593 , H04N13/204
CPC classification number: G06T7/0004 , A01B3/26 , A01B79/005 , G06F18/214 , G06F18/24 , G06K7/10366 , G06K19/0723 , G06N20/00 , G06T7/593 , H04N13/204 , G06T2207/20081 , G06T2207/30164 , G06T2207/30204
Abstract: A detection system detects malfunctions in an autonomous farming vehicle during an autonomous routine using one or more models and data from sensors coupled to the autonomous farming vehicle. The models may include machine-learned models trained on the sensor data and configured to identify objects indicative of an operational or malfunctioning component within a tilling assembly such as a tilling shank or sweep. Additionally, a machine-learned model may be trained on sensor data to detect whether debris has plugged the tilling assembly of the autonomous farming vehicle. In response to detecting a malfunction or a plug, the detection system may modify the autonomous routine (e.g., pausing operation) or provide information for the malfunction to be addressed (e.g., the likely location of a malfunctioning sweep that has detached from the tilling assembly).
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公开(公告)号:US20220198642A1
公开(公告)日:2022-06-23
申请号:US17126793
申请日:2020-12-18
Applicant: Blue River Technology Inc.
Inventor: Divya Sharma , Michael Albert Elcano , Byron Gajun Ho , Jeremy Douglas Krantz , Tyler Niday , Robert Joseph Plumeau
Abstract: A detection system detects malfunctions in an autonomous farming vehicle during an autonomous routine using one or more models and data from sensors coupled to the autonomous farming vehicle. The models may include machine-learned models trained on the sensor data and configured to identify objects indicative of an operational or malfunctioning component within a tilling assembly such as a tilling shank or sweep. Additionally, a machine-learned model may be trained on sensor data to detect whether debris has plugged the tilling assembly of the autonomous farming vehicle. In response to detecting a malfunction or a plug, the detection system may modify the autonomous routine (e.g., pausing operation) or provide information for the malfunction to be addressed (e.g., the likely location of a malfunctioning sweep that has detached from the tilling assembly).
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公开(公告)号:US20240303801A1
公开(公告)日:2024-09-12
申请号:US18608760
申请日:2024-03-18
Applicant: Blue River Technology Inc.
Inventor: Divya Sharma , Michael Albert Elcano , Byron Gajun Ho , Jeremy Douglas Krantz , Tyler Niday , Robert Joseph Plumeau
IPC: G06T7/00 , A01B3/26 , A01B79/00 , G06F18/214 , G06F18/24 , G06K7/10 , G06K19/07 , G06N20/00 , G06T7/593 , H04N13/204
CPC classification number: G06T7/0004 , A01B3/26 , A01B79/005 , G06F18/214 , G06F18/24 , G06K7/10366 , G06K19/0723 , G06N20/00 , G06T7/593 , H04N13/204 , G06T2207/20081 , G06T2207/30164 , G06T2207/30204
Abstract: A detection system detects malfunctions in an autonomous farming vehicle during an autonomous routine using one or more models and data from sensors coupled to the autonomous farming vehicle. The models may include machine-learned models trained on the sensor data and configured to identify objects indicative of an operational or malfunctioning component within a tilling assembly such as a tilling shank or sweep. Additionally, a machine-learned model may be trained on sensor data to detect whether debris has plugged the tilling assembly of the autonomous farming vehicle. In response to detecting a malfunction or a plug, the detection system may modify the autonomous routine (e.g., pausing operation) or provide information for the malfunction to be addressed (e.g., the likely location of a malfunctioning sweep that has detached from the tilling assembly).
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公开(公告)号:US11823369B2
公开(公告)日:2023-11-21
申请号:US17126793
申请日:2020-12-18
Applicant: Blue River Technology Inc.
Inventor: Divya Sharma , Michael Albert Elcano , Byron Gajun Ho , Jeremy Douglas Krantz , Tyler Niday , Robert Joseph Plumeau
IPC: G06T7/00 , G06N20/00 , G06V20/10 , G06F18/2411
CPC classification number: G06T7/0004 , G06F18/2411 , G06N20/00 , G06V20/10 , G06T2207/10048 , G06T2207/20081 , G06T2207/30188
Abstract: A detection system detects malfunctions in an autonomous farming vehicle during an autonomous routine using one or more models and data from sensors coupled to the autonomous farming vehicle. The models may include machine-learned models trained on the sensor data and configured to identify objects indicative of an operational or malfunctioning component within a tilling assembly such as a tilling shank or sweep. Additionally, a machine-learned model may be trained on sensor data to detect whether debris has plugged the tilling assembly of the autonomous farming vehicle. In response to detecting a malfunction or a plug, the detection system may modify the autonomous routine (e.g., pausing operation) or provide information for the malfunction to be addressed (e.g., the likely location of a malfunctioning sweep that has detached from the tilling assembly).
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公开(公告)号:US11672194B2
公开(公告)日:2023-06-13
申请号:US17126764
申请日:2020-12-18
Applicant: Blue River Technology Inc.
Inventor: Divya Sharma , Michael Albert Elcano , Byron Gajun Ho , Jeremy Douglas Krantz , Tyler Niday , Robert Joseph Plumeau
CPC classification number: A01B79/005 , G05D1/0088 , G06N20/00 , G06T7/0002 , G06T7/70 , A01B3/24 , G05D2201/0201 , G06T2207/20081 , G06T2207/30188 , G06T2207/30252
Abstract: A detection system detects malfunctions in an autonomous farming vehicle during an autonomous routine using one or more models and data from sensors coupled to the autonomous farming vehicle. The models may include machine-learned models trained on the sensor data and configured to identify objects indicative of an operational or malfunctioning component within a tilling assembly such as a tilling shank or sweep. Additionally, a machine-learned model may be trained on sensor data to detect whether debris has plugged the tilling assembly of the autonomous farming vehicle. In response to detecting a malfunction or a plug, the detection system may modify the autonomous routine (e.g., pausing operation) or provide information for the malfunction to be addressed (e.g., the likely location of a malfunctioning sweep that has detached from the tilling assembly).
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