Patents by Inventor Tyler Niday
Tyler Niday has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 11979649Abstract: A front perception module is utilized in conjunction with a front ballast system, which is included in a work vehicle and which has a laterally-extending hanger bracket supporting a number of removable ballast weights. In various embodiments, the front perception module includes an environmental depth perception (EDP) sensor system including a first EDP device having a field of view (FOV) encompassing an environmental region forward of the work vehicle, a mounting base attached to the work vehicle, and a front module housing containing the EDP sensor system and joined to the work vehicle through the mounting base. The front module housing is positioned over and vertically spaced from the laterally-extending hanger bracket in a manner enabling positioning of the removable ballast weights beneath the front module housing.Type: GrantFiled: September 3, 2021Date of Patent: May 7, 2024Assignee: DEERE & COMPANYInventors: Troy K. Maddox, Jordan L. Zerr, Tyler Niday, Jeffrey E. Runde, Margaux M. Ascherl
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Patent number: 11972551Abstract: 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).Type: GrantFiled: December 18, 2020Date of Patent: April 30, 2024Assignee: BLUE RIVER TECHNOLOGY INC.Inventors: Divya Sharma, Michael Albert Elcano, Byron Gajun Ho, Jeremy Douglas Krantz, Tyler Niday, Robert Joseph Plumeau
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Patent number: 11823369Abstract: 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).Type: GrantFiled: December 18, 2020Date of Patent: November 21, 2023Assignee: BLUE RIVER TECHNOLOGY INC.Inventors: Divya Sharma, Michael Albert Elcano, Byron Gajun Ho, Jeremy Douglas Krantz, Tyler Niday, Robert Joseph Plumeau
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Patent number: 11672194Abstract: 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).Type: GrantFiled: December 18, 2020Date of Patent: June 13, 2023Assignee: BLUE RIVER TECHNOLOGY INC.Inventors: Divya Sharma, Michael Albert Elcano, Byron Gajun Ho, Jeremy Douglas Krantz, Tyler Niday, Robert Joseph Plumeau
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Publication number: 20230040430Abstract: A farming machine moves through a field and performs one or more farming actions (e.g., treating one or more plants) in the field. Portions of the field may include moisture, such as puddles or mud patches. A control system associated with the farming machine may include a traversability model and/or a moisture model to help the farming machine operate in the field with the moisture. In particular, the control system may employ the traversability model to reduce the likelihood of the farming machine attempting to traverse an untraversable portion of the field, and the control system may employ the moisture model to reduce the likelihood of the farming machine performing an action that will damage a portion of the field.Type: ApplicationFiled: August 6, 2021Publication date: February 9, 2023Inventors: Lee Kamp REDDEN, Divya SHARMA, Kent ANDERSON, Bryon MAJUSIAK, Tyler NIDAY
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Publication number: 20220198642Abstract: 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).Type: ApplicationFiled: December 18, 2020Publication date: June 23, 2022Inventors: Divya Sharma, Michael Albert Elcano, Byron Gajun Ho, Jeremy Douglas Krantz, Tyler Niday, Robert Joseph Plumeau
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Publication number: 20220198643Abstract: 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).Type: ApplicationFiled: December 18, 2020Publication date: June 23, 2022Inventors: Divya Sharma, Michael Albert Elcano, Byron Gajun Ho, Jeremy Douglas Krantz, Tyler Niday, Robert Joseph Plumeau
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Publication number: 20220192076Abstract: 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).Type: ApplicationFiled: December 18, 2020Publication date: June 23, 2022Inventors: Divya Sharma, Michael Albert Elcano, Byron Gajun Ho, Jeremy Douglas Krantz, Tyler Niday, Robert Joseph Plumeau
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Publication number: 20220150392Abstract: A front perception module is utilized in conjunction with a front ballast system, which is included in a work vehicle and which has a laterally-extending hanger bracket supporting a number of removable ballast weights. In various embodiments, the front perception module includes an environmental depth perception (EDP) sensor system including a first EDP device having a field of view (FOV) encompassing an environmental region forward of the work vehicle, a mounting base attached to the work vehicle, and a front module housing containing the EDP sensor system and joined to the work vehicle through the mounting base. The front module housing is positioned over and vertically spaced from the laterally-extending hanger bracket in a manner enabling positioning of the removable ballast weights beneath the front module housing.Type: ApplicationFiled: September 3, 2021Publication date: May 12, 2022Inventors: Troy K. Maddox, Jordan L. Zerr, Tyler Niday, Jeffrey E. Runde, Margaux M. Ascherl
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Publication number: 20220144076Abstract: A rear perception module is utilized in conjunction with a work vehicle having a work vehicle cabin and a cabin roof. In an embodiment, the rear perception module includes an environmental depth perception (EDP) sensor system including a first EDP device having a field of view encompassing an environmental region to a rear of the work vehicle, a rear module housing mounted to an upper trailing edge portion of the cabin roof, and vents formed in exterior walls of the rear module housing to facilitate airflow through the rear module housing along a cooling airflow path. A heat-generating electronic component is electrically coupled to the first EDP device and positioned in or adjacent the cooling airflow path such that excess heat generated by the heat-generating electronic component is dissipated by convective transfer to airflow conducted along the cooling airflow path during operation of the rear perception module.Type: ApplicationFiled: September 3, 2021Publication date: May 12, 2022Inventors: Troy K. Maddox, Jordan L. Zerr, Tyler Niday, Jeffrey E. Runde, Margaux M. Ascherl