FLYING BODY CONTROL APPARATUS, FLYING BODY CONTROL METHOD, AND FLYING BODY CONTROL PROGRAM

    公开(公告)号:US20210157338A1

    公开(公告)日:2021-05-27

    申请号:US16641521

    申请日:2017-08-25

    Inventor: Tetsuo INOSHITA

    Abstract: A flying body that can more reliably be made to hover at a desired position includes a determiner that determines whether to make the flying body hover, an image capturer that captures a periphery of the flying body, a recorder that records an image captured by the image capturer, and a stop controller that, if it is determined to make the flying body hover, stops the flying body in the air using the image recorded in the recorder and an image captured during flight.

    INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND INFORMATION PROCESSING PROGRAM

    公开(公告)号:US20210124371A1

    公开(公告)日:2021-04-29

    申请号:US16493923

    申请日:2017-03-31

    Inventor: Tetsuo INOSHITA

    Abstract: Concerning a partial area image that constitutes a wide area image, to control a flying body in accordance with a flight altitude at a past point of time of image capturing, an information processing apparatus includes a wide area image generator that extracts, from a flying body video obtained when a flying body captures a ground area spreading below while moving, a plurality of video frame images and combines the video frame images, thereby generating a captured image in a wide area, an image capturing altitude acquirer that acquires a flight altitude at a point of time of image capturing by the flying body for each of the plurality of video frame images, and an image capturing altitude output unit that outputs a difference of the flight altitude for each video frame image.

    TRAINING DATA GENERATION APPARATUS
    15.
    发明申请

    公开(公告)号:US20220215653A1

    公开(公告)日:2022-07-07

    申请号:US17602403

    申请日:2019-04-25

    Inventor: Tetsuo INOSHITA

    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.

    TRAINING DATA GENERATION APPARATUS
    16.
    发明申请

    公开(公告)号:US20220189146A1

    公开(公告)日:2022-06-16

    申请号:US17603100

    申请日:2019-04-25

    Inventor: Tetsuo INOSHITA

    Abstract: A selecting unit selects first moving image data and second 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 frame images composing the first moving image data. A 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 that is labeled data relating to the specific recognition target from the frame images composing the second moving image data by using the first model.

    IDENTIFICATION SYSTEM, MODEL RE-LEARNING METHOD AND PROGRAM

    公开(公告)号:US20210224537A1

    公开(公告)日:2021-07-22

    申请号:US17053413

    申请日:2018-05-07

    Inventor: Tetsuo INOSHITA

    Abstract: Learning means 701 learns a model for identifying an object indicated by data by using training data. First identification means 702 identifies the object indicated by the data by using the model learned by the learning means 701. Second identification means 703 identifies the object indicated by the data as an identification target used by the first identification means 702 by using a model different from the model learned by the learning means 701. The learning means 701 re-learns the model by using the training data including the label for the data determined based on the identification result derived by the second identification means 703 and the data.

    MOVING BODY GUIDANCE APPARATUS, MOVING BODY GUIDANCE METHOD, AND COMPUTER-READABLE RECORDING MEDIUM

    公开(公告)号:US20210011495A1

    公开(公告)日:2021-01-14

    申请号:US16979915

    申请日:2018-03-13

    Inventor: Tetsuo INOSHITA

    Abstract: Provided are a moving body guidance apparatus, a moving body guidance method and a computer-readable recording medium that are for accurately guiding a moving body to a target site. A moving body guidance apparatus 1 has a detection unit 2 that detects a feature of a target member 30 from an image captured by an image capturing unit 23 mounted on a moving body 20, the feature changing according to a measurement distance indicating the distance between the moving body 20 and the target member 30, and a control unit 3 that performs control for guiding the moving body 20 to the target site 31 where the target member 30 is installed, based on the detected feature.

    INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND INFORMATION PROCESSING PROGRAM

    公开(公告)号:US20200029004A1

    公开(公告)日:2020-01-23

    申请号:US16498046

    申请日:2017-03-31

    Inventor: Tetsuo INOSHITA

    Abstract: Concerning a partial area image that constitutes a wide area image, to measure an elapsed time from a past point of time of image capturing and control a flying body in accordance with the elapsed time, an information processing apparatus includes a wide area image generator that extracts, from a flying body video obtained when a flying body captures a ground area spreading below while moving, a plurality of video frame images and combines the video frame images, thereby generating a captured image in a wide area, an elapsed time measurer that measures an elapsed time from an image capturing time by the flying body for each of the plurality of video frame images, and an output unit that outputs the elapsed time for each video frame image together with position information of the flying body at the time of capturing of the video frame image.

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