Training data generation apparatus
    22.
    发明授权

    公开(公告)号:US11954901B2

    公开(公告)日:2024-04-09

    申请号:US17602403

    申请日:2019-04-25

    Inventor: Tetsuo Inoshita

    CPC classification number: G06V10/7747 G06N3/08 G06V10/7788

    Abstract: A selecting unit selects first to third moving image data from a plurality of frame images composing moving image data. A first generating unit generates first training data that is labeled data relating to a specific recognition target from the first moving image data. A first learning unit learns a first model recognizing the specific recognition target by using the first training data. A second generating unit generates second training data from the second moving image data by using the first model. A second learning unit learns a second model by using the second training data. A third generating unit generates third training data from the third moving image data by using the second model.

    Target member
    24.
    发明授权

    公开(公告)号:US11866197B2

    公开(公告)日:2024-01-09

    申请号:US16980239

    申请日:2018-03-13

    Inventor: Tetsuo Inoshita

    CPC classification number: B64F1/18 G05D1/101 B64C39/024 B64U70/00 B64U2101/30

    Abstract: Provided is a target member for accurately guiding a moving body to a target site. A target member 10 is used when performing control for guiding a moving body 20 to a target site, and the target member 10 is formed by using two or more different feature members 11, 12 that are set such that a shape of a target member image 44 that corresponds to the target member 10 captured by an image capturing unit 21 (an image capturing apparatus) that is mounted in the moving body 20 changes according to a measurement distance that indicates a distance between the target member 10 and the moving body 20.

    Pattern recognition system, parameter generation method, and parameter generation program

    公开(公告)号:US11586850B2

    公开(公告)日:2023-02-21

    申请号:US17044425

    申请日:2018-05-10

    Abstract: The first parameter generation unit 811 generates a first parameter, which is a parameter of a first recognizer, using first learning data including a combination of data to be recognized, a correct label of the data, and domain information indicating a collection environment of the data. The second parameter generation unit 812 generates a second parameter, which is a parameter of a second recognizer, using second learning data including a combination of data to be recognized that is collected in a predetermined collection environment, a correct label of the data, and target domain information indicating the predetermined collection environment, based on the first parameter. The third parameter generation unit 813 integrates the first parameter and the second parameter to generate a third parameter to be used for pattern recognition of input data by learning using the first learning data.

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