MACHINE-LEARNED TILLAGE PLUG DETECTION IN AN AUTONOMOUS FARMING VEHICLE

    公开(公告)号:US20220192076A1

    公开(公告)日:2022-06-23

    申请号:US17126764

    申请日:2020-12-18

    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).

    MACHINE-LEARNED TILLAGE SWEEP MALFUNCTION IN AN AUTONOMOUS FARMING VEHICLE

    公开(公告)号:US20220198642A1

    公开(公告)日:2022-06-23

    申请号:US17126793

    申请日:2020-12-18

    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).

    GENERATING A GROUND PLANE FOR OBSTRUCTION DETECTION

    公开(公告)号:US20220207852A1

    公开(公告)日:2022-06-30

    申请号:US17565218

    申请日:2021-12-29

    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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