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    AUTOMATICALLY DETERMINING EXTRINSIC PARAMETERS OF MODULAR EDGE COMPUTING DEVICES
    3.
    发明申请
    AUTOMATICALLY DETERMINING EXTRINSIC PARAMETERS OF MODULAR EDGE COMPUTING DEVICES 有权

    公开(公告)号：US20230120944A1

    公开(公告)日：2023-04-20

    申请号：US17505058

    申请日：2021-10-19

    Applicant: X Development LLC

    Inventor： Elliott Grant ,  Sergey Yaroshenko ,  Gabriella Levine

    IPC: H04N13/239 ,  G06T7/80 ,  G06T7/73 ,  A01B79/00 ,  A01B76/00 ,  A01B63/02 ,  H04N13/296 ,  H04N13/246

    Abstract: Implementations are disclosed for automatic commissioning, configuring, calibrating, and/or coordinating sensor-equipped modular edge computing devices that are mountable on agricultural vehicles. In various implementations, neighbor modular edge computing device(s) that are mounted on a vehicle nearest a given modular edge computing device may be detected based on sensor signal(s) generated by contactless sensor(s) of the given modular edge computing device. Based on the detected neighbor modular edge computing device(s), an ordinal position of the given modular edge computing device may be determined relative to a plurality of modular edge computing devices mounted on the agricultural vehicle. Based on the sensor signal(s), distance(s) to the neighbor modular edge computing device(s) may be determined. Extrinsic parameters of the given modular edge computing device may be determined based on the ordinal position of the given modular edge computing device and the distance(s).

    GENERATING A LOCAL MAPPING OF AN AGRICULTURAL FIELD FOR USE IN PERFORMANCE OF AGRICULTURAL OPERATION(S)
    4.
    发明申请
    GENERATING A LOCAL MAPPING OF AN AGRICULTURAL FIELD FOR USE IN PERFORMANCE OF AGRICULTURAL OPERATION(S) 有权

    公开(公告)号：US20220196433A1

    公开(公告)日：2022-06-23

    申请号：US17131098

    申请日：2020-12-22

    Applicant: X Development LLC

    Inventor： Alan Eneev ,  Jie Yang ,  Yueqi Li ,  Yujing Qian ,  Nanzhu Wang ,  Sicong Wang ,  Sergey Yaroshenko

    IPC: G01C21/00 ,  G06K9/00 ,  G05D1/02 ,  G01S19/42 ,  G05D1/00

    Abstract: Implementations are directed to assigning corresponding semantic identifiers to a plurality of rows of an agricultural field, generating a local mapping of the agricultural field that includes the plurality of rows of the agricultural field, and subsequently utilizing the local mapping in performance of one or more agricultural operations. In some implementations, the local mapping can be generated based on overhead vision data that captures at least a portion of the agricultural field. In these implementations, the local mapping can be generated based on GPS data associated with the portion of the agricultural field captured in the overhead vision data. In other implementations, the local mapping can be generated based on driving data generated during an episode of locomotion of a vehicle through the agricultural field. In these implementations, the local mapping can be generated based on GPS data associated with the vehicle traversing through the agricultural field.

    ADAPTIVELY ADJUSTING PARAMETERS OF EQUIPMENT OPERATING IN UNPREDICTABLE TERRAIN
    6.
    发明申请
    ADAPTIVELY ADJUSTING PARAMETERS OF EQUIPMENT OPERATING IN UNPREDICTABLE TERRAIN 有权

    公开(公告)号：US20230102576A1

    公开(公告)日：2023-03-30

    申请号：US17485928

    申请日：2021-09-27

    Applicant: X Development LLC

    Inventor： Sergey Yaroshenko ,  Gabriella Levine ,  Elliott Grant ,  Daniel Ribeiro Silva ,  Linda Kanu ,  Francis Ebong

    IPC: A01B79/00 ,  A01B63/00 ,  G06K9/00 ,  G06N3/02

    Abstract: Implementations are disclosed for adaptively adjusting various parameters of equipment in unpredictable terrain, such as agricultural fields. In various implementations, edge computing device(s) may obtain a first image captured by vision sensor(s) transported across an agricultural field by a vehicle. The first image may depict plant(s) growing in the agricultural area. The edge computing device(s) may process the first image based on a machine learning model to generate agricultural inference(s) about the plant(s) growing in the agricultural area. The edge computing device(s) may determine a quality metric for the agricultural inference(s). While the vehicle continues to travel across the agricultural field, and based on the quality metric: the edge computing device(s) may trigger one or more hardware adjustments to one or more of the vision sensors, or one or more adjustments in an operation of the vehicle.

    EDGE-BASED PROCESSING OF AGRICULTURAL DATA
    7.
    发明申请
    EDGE-BASED PROCESSING OF AGRICULTURAL DATA 有权

    公开(公告)号：US20220129673A1

    公开(公告)日：2022-04-28

    申请号：US17077651

    申请日：2020-10-22

    Applicant: X Development LLC

    Inventor： Sergey Yaroshenko ,  Zhiqiang Yuan

    IPC: G06K9/00 ,  G06K9/32 ,  G06N20/00 ,  A01B79/00

    Abstract: Implementations are disclosed for selectively operating edge-based sensors and/or computational resources under circumstances dictated by observation of targeted plant trait(s) to generate targeted agricultural inferences. In various implementations, triage data may be acquired at a first level of detail from a sensor of an edge computing node carried through an agricultural field. The triage data may be locally processed at the edge using machine learning model(s) to detect targeted plant trait(s) exhibited by plant(s) in the field. Based on the detected plant trait(s), a region of interest (ROI) may be established in the field. Targeted inference data may be acquired at a second, greater level of detail from the sensor while the sensor is carried through the ROI. The targeted inference data may be locally processed at the edge using one or more of the machine learning models to make a targeted inference about plants within the ROI.

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