AUTONOMOUS AERIAL VEHICLE
    12.
    发明公开

    公开(公告)号:US20230192331A1

    公开(公告)日:2023-06-22

    申请号:US17681873

    申请日:2022-02-28

    Applicant: Brijesh Kamani

    Inventor: Brijesh Kamani

    Abstract: A modular autonomous aerial passenger vehicle is provided to automatically transport any person or luggage or capable of being used by the defense organizations for monitoring without any interference or need of human pilot. The autonomous aerial vehicle is comprising of an aerodynamic main body having 4 fixed arms each and 2 foldable arms each of which further having a pair of propellers coupled at the edge of each foldable arm, one at the top and one at the bottom. Further, the autonomous aerial vehicle further includes a power management system; safety system; interior cockpit having a HMI and seating arrangement, where the HMI is a brain computer interface that acquires signals from the brain and analyses them to convert it into commands. It includes a display unit and manual control unit; primary and auxiliary battery modules, flight control unit, plurality of sensors and cameras and other safety equipment for safe functioning of the present autonomous aerial vehicle.

    IMAGE CAPTURING APPARATUS, CONTROL METHOD, AND STORAGE MEDIUM

    公开(公告)号:US20230164432A1

    公开(公告)日:2023-05-25

    申请号:US18045902

    申请日:2022-10-12

    Inventor: Hiroyasu Morita

    Abstract: There is provided an image capturing apparatus. An image capturing unit captures an image at an image capturing frequency that depends on a transmission setting. In a case where the transmission setting is a first setting, the image capturing frequency is higher than in a case where the transmission setting is a second setting or a third setting. A generation unit generates additional information associated with a captured image obtained by capturing an image at the image capturing frequency in the case where the transmission setting is the first setting or the third setting. The additional information is for use in control processing for a control device to control at least one of position and attitude of the image capturing apparatus.

    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

    Abstract: 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

    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.

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