SYSTEMS AND METHODS FOR VEHICLE GUIDANCE

    公开(公告)号:US20210027641A1

    公开(公告)日:2021-01-28

    申请号:US16985506

    申请日:2020-08-05

    Applicant: GoPro, Inc.

    Abstract: This disclosure relates to systems and methods for vehicle guidance. Stereo images may be obtained at different times using a stereo image sensor. A depth image may be determined based on an earlier obtained pair of stereo images. The depth image may be refined based on predictions of an earlier stereo image and a later obtained stereo image. Depth information for an environment around a vehicle may be obtained. The depth information may characterize distances between the vehicle and the environment around the vehicle. A spherical depth map may be generated from the depth information. Maneuver controls for the vehicle may be provided based on the spherical depth map.

    Calibration for Image Stabilization Mechanism

    公开(公告)号:US20200063913A1

    公开(公告)日:2020-02-27

    申请号:US16673316

    申请日:2019-11-04

    Applicant: GoPro, Inc.

    Abstract: The disclosure describes systems and methods for calibrating an image stabilization mechanism. One method includes a control system sending a command to thermally condition one or more sensors to a predetermined temperature. During thermal conditioning to the predetermined temperature, the control system sends a command to drive one or more motors of the image stabilization mechanism to cause movement of an imaging device coupled to the image stabilization mechanism. After thermal conditioning to the predetermined temperature, the control system sends a command to stop driving the one or more motors of the image stabilization mechanism to stop movement of the imaging device coupled to the image stabilization mechanism. After stopping the driving of the one or more motors, the control system sends a command to calibrate the one or more sensors.

    SYSTEMS AND METHODS FOR VEHICLE GUIDANCE
    36.
    发明申请

    公开(公告)号:US20190213896A1

    公开(公告)日:2019-07-11

    申请号:US16360097

    申请日:2019-03-21

    Applicant: GoPro, Inc.

    Abstract: This disclosure relates to systems and methods for vehicle guidance. Stereo images may be obtained at different times using a stereo image sensor. A depth image may be determined based on an earlier obtained pair of stereo images. The depth image may be refined based on predictions of an earlier stereo image and a later obtained stereo image. Depth information for an environment around a vehicle may be obtained. The depth information may characterize distances between the vehicle and the environment around the vehicle. A spherical depth map may be generated from the depth information. Maneuver controls for the vehicle may be provided based on the spherical depth map.

    VISION-BASED NAVIGATION SYSTEM
    38.
    发明申请

    公开(公告)号:US20180150718A1

    公开(公告)日:2018-05-31

    申请号:US15364990

    申请日:2016-11-30

    Applicant: GoPro, Inc.

    Abstract: This disclosure describes systems and methods for vision-based navigation of an aerial vehicle. A method includes operations of acquiring a first image, and identifying features in a first image pyramid of the first image. The method includes acquiring a second image after the first image, and identifying the features in a second image pyramid of the second image. The method includes determining current navigation information of the aerial vehicle according to changes in position of the respective features between the first image pyramid and the second image pyramid. The method also includes predicting whether a sufficient number of the features will be identifiable at a third time that is in the future and after the second image was taken, and limiting flight as compared to the user flight instructions if an insufficient number of the features are predicted to be identifiable.

    ADAPTIVE OBJECT DETECTION
    40.
    发明申请

    公开(公告)号:US20240428698A1

    公开(公告)日:2024-12-26

    申请号:US18601096

    申请日:2024-03-11

    Applicant: GoPro, Inc.

    Abstract: Controlling an unmanned aerial vehicle to traverse a portion of an operational environment of the unmanned aerial vehicle may include obtaining an object detection type, obtaining object detection input data, obtaining relative object orientation data based on the object detection type and the object detection input data, and performing an object avoidance operation based on the relative object orientation data. The object detection type may be monocular object detection, which may include obtaining the relative object orientation data by obtaining motion data indicating a change of spatial location for the unmanned aerial vehicle between obtaining the first image and obtaining the second image based on searching along epipolar lines to obtain optical flow data.

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