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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:US20230038422A1
公开(公告)日:2023-02-09
申请号:US17881436
申请日:2022-08-04
Applicant: Blue River Technology Inc.
Inventor: Lee Kamp Redden , Divya Sharma , Kent Michael Anderson , Bryon William Majusiak , Benjamin Ray Chostner , James Patrick Ostrowski
Abstract: A vehicle moves through an environment (e.g., a farming, construction, mining, or forestry environment) and performs one or more actions in the environment. Portions of the environment may include moisture, such as puddles or mud patches. A control system associated with the vehicle may include a traversability model or a moisture model to help the vehicle operate in the environment with the moisture. In particular, the control system may employ the traversability model to reduce the likelihood of the vehicle attempting to traverse an untraversable portion of the environment, and the control system may employ the moisture model to reduce the likelihood of the vehicle performing an action that will damage a portion of the environment.
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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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公开(公告)号:US20220207852A1
公开(公告)日:2022-06-30
申请号:US17565218
申请日:2021-12-29
Applicant: Blue River Technology Inc.
Inventor: Divya Sharma , Ugur Oezdemir , Lingjian Kong
Abstract: A control system receives image data of a portion of a field, where the image data comprises a plurality of pixels each representing a three dimensional (3D) coordinate in the field. The control system applies an obstruction identification model to the image data to identify an obstruction in the field. The obstruction identification model determines a seed segment for the field portion and determines a detection ground plane by extrapolating a seed segment to the 3D coordinates of the plurality of pixels. The obstruction identification model identifies a set of pixels of the plurality of pixels that have three dimensional coordinates above the detection ground plane as the obstruction. The control system executes an action for the farming machine to avoid the obstruction in the field based on the obstruction identification model's identification of the obstruction.
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