Methods and Systems for Door-Enabled Loading and Release of Payloads in an Unmanned Aerial Vehicle (UAV)

    公开(公告)号:US20190193855A1

    公开(公告)日:2019-06-27

    申请号:US15850705

    申请日:2017-12-21

    申请人: Wing Aviation LLC

    IPC分类号: B64D1/10 B64C39/02 G06F21/31

    摘要: Example implementations may relate to door-enabled loading and release of payloads in an unmanned aerial vehicle (UAV), which could be a type of UAV in a group of UAVs that is assigned to carry out certain transport tasks. In particular, the UAV may include a fuselage having a first side and a second side, as well as a chamber formed within the fuselage and arranged to house a payload. A first door may be arranged on the first side of the fuselage, such that an opening of the first door enables loading of the payload into the chamber. And a second door may be arranged on the second side of the fuselage, such that an opening of the second door enables release of the payload from the chamber. Moreover, the UAV may include a control system configured to control flight of the UAV, and possibly opening and/or closing of door(s).

    Backup Navigation System for Unmanned Aerial Vehicles

    公开(公告)号:US20190080142A1

    公开(公告)日:2019-03-14

    申请号:US15703948

    申请日:2017-09-13

    申请人: X Development LLC

    IPC分类号: G06K9/00 G05D1/10 B64D47/08

    摘要: 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.

    Spin-Landing Drone
    8.
    发明申请
    Spin-Landing Drone 审中-公开

    公开(公告)号:US20190039728A1

    公开(公告)日:2019-02-07

    申请号:US15670223

    申请日:2017-08-07

    IPC分类号: B64C29/00 B64C39/02

    摘要: Various embodiments include a drone having a landing control device that is configured to rotate wings into an auto-rotation decent configuration causing the drone to enter a nose-down attitude and spin about a long axis of the drone, and to collectively control pivot angles of the wings to enables control of decent rate and lateral motion during an auto-rotation descent. The landing control device may be a landing carousel including a pivotal frame secured to a drone body and configured to rotate about a carousel axis extending laterally relative to a longitudinal axis of the body. The landing carousel may include a first wing motor configured to pivot a first wing about a wing pivot axis extending parallel to the carousel axis, and a second wing motor configured to pivot a second wing about the wing pivot axis independent of the pivot the first wing.

    TARGET VALUE DETECTION FOR UNMANNED AERIAL VEHICLES

    公开(公告)号:US20190004173A1

    公开(公告)日:2019-01-03

    申请号:US15639454

    申请日:2017-06-30

    申请人: GoPro, Inc.

    摘要: 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.