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    Retrofittable Float with an Underwater Camera Attachment for Unmanned Aerial Vehicles
    31.
    发明申请
    Retrofittable Float with an Underwater Camera Attachment for Unmanned Aerial Vehicles 审中-公开

    公开(公告)号：US20190137847A1

    公开(公告)日：2019-05-09

    申请号：US16184730

    申请日：2018-11-08

    Applicant: Kermit Mallette

    Inventor： Kermit Mallette

    IPC: G03B15/00 ,  B64C39/02 ,  B64C25/54 ,  G03B17/08

    CPC classification number: G03B15/006 ,  B64C25/54 ,  B64C39/024 ,  B64C2201/127 ,  G03B17/08

    Abstract: A retrofittable float with an underwater camera attachment for unmanned aerial vehicles allows an unmanned aerial vehicle (UAV) to traverse over a body of water while recording images and/or video of the underwater environment. The retrofittable float with an underwater camera attachment includes a flotation device, a plurality of mounting brackets, an underwater scope, and at least one underwater illumination light. The flotation device attaches to the UAV via the plurality of mounting brackets. The plurality of mounting brackets is configured to align the center of gravity of the UAV with the center of buoyancy of the flotation device, thereby reducing the risk of capsizing. Once securely mounted, the camera of the UAV is positioned pointing into the underwater scope. The underwater scope allows the camera to record images and/or videos of the underwater environment. Finally, the at least one underwater illumination light is used to increase visibility.

    Backup Navigation System for Unmanned Aerial Vehicles
    35.
    发明申请
    Backup Navigation System for Unmanned Aerial Vehicles 审中-公开

    公开(公告)号：US20190080142A1

    公开(公告)日：2019-03-14

    申请号：US15703948

    申请日：2017-09-13

    Applicant: X Development LLC

    Inventor： Dinuka Abeywardena ,  Damien Jourdan

    IPC: G06K9/00 ,  G05D1/10 ,  B64D47/08

    CPC classification number: G06K9/0063 ,  B64C2201/028 ,  B64C2201/123 ,  B64C2201/127 ,  B64C2201/141 ,  B64C2201/146 ,  B64D47/08 ,  G01C11/06 ,  G01C21/32 ,  G05D1/101

    Abstract: Described is a method that involves operating an unmanned aerial vehicle (UAV) to begin a flight, where the UAV relies on a navigation system to navigate to a destination. During the flight, the method involves operating a camera to capture images of the UAV's environment, and analyzing the images to detect features in the environment. The method also involves establishing a correlation between features detected in different images, and using location information from the navigation system to localize a feature detected in different images. Further, the method involves generating a flight log that includes the localized feature. Also, the method involves detecting a failure involving the navigation system, and responsively operating the camera to capture a post-failure image. The method also involves identifying one or more features in the post-failure image, and determining a location of the UAV based on a relationship between an identified feature and a localized feature.

    TARGET VALUE DETECTION FOR UNMANNED AERIAL VEHICLES
    38.
    发明申请
    TARGET VALUE DETECTION FOR UNMANNED AERIAL VEHICLES 审中-公开

    公开(公告)号：US20190004173A1

    公开(公告)日：2019-01-03

    申请号：US15639454

    申请日：2017-06-30

    Applicant: GoPro, Inc.

    Inventor： Stepan Moskovchenko ,  Joseph Anthony Enke

    IPC: G01S15/42 ,  B64C39/02 ,  B64D47/00 ,  G01S15/04

    CPC classification number: G01S15/42 ,  B64C39/024 ,  B64C2201/123 ,  B64C2201/127 ,  B64C2201/141 ,  B64C2201/146 ,  B64D47/00 ,  G01S15/04

    Abstract: Target value detection for an unmanned aerial vehicle is described. The unmanned aerial vehicle includes a first transducer that transmits a first ultrasonic signal and receives a first ultrasonic response and a second transducer that transmits a second ultrasonic signal and receives a second ultrasonic response. The second transducer has a wider beam pattern than the first transducer. Determinations are made as to whether either or both of the first or second ultrasonic responses includes a target value within range areas associated with the respective beam patterns of the first and second transducers. A confidence value is generated based on the determinations. The target value is reflected from an object and the confidence value indicates a likelihood of a position of the unmanned aerial vehicle with respect to the object.

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