Apparatus, systems, processes, and computer-readable mediums for facilitating the use of drones are described. For one embodiment, such a system includes a user element having a user application computer program configured to instruct a user interface device to facilitate use of user data and use of mission parameter(s) for a proposed drone mission. An owner element includes an owner application computer program configured to facilitate use of owner data and use of at least one drone parameter. A fleet system element is communicatively coupled to the user element and to the owner element and includes a computer system processor configured to facilitate use of a fleet record and use of at least one fleet parameter.

A user terminal generates a virtual drone camera image, as an estimated captured image where it is assumed that a virtual drone camera mounted on a drone has captured an image of a planned landing position on the basis of a captured image obtained by capturing the planned landing position of the drone with the user terminal, and transmits the generated virtual drone camera image to the drone. The drone collates the virtual drone camera image with the image captured by the drone camera and lands at the planned landing position in the image captured by the drone camera. The user terminal generates a corresponding pixel positional relationship formula indicating a correspondence relationship between a pixel position on the captured image of the user terminal and a pixel position on the captured image of the virtual drone camera, and generates the virtual drone camera image using the generated relationship formula.

A system comprising an aerial vehicle or an unmanned aerial vehicle (UAV) configured to control pitch, roll, and/or yaw via airfoils having resiliently mounted trailing edges opposed by fuselage-house deflecting actuator horns. Embodiments include one or more rudder elements which may be rotatably attached and actuated by an effector member disposed within the fuselage housing and extendible in part to engage the one or more rudder elements.

An unmanned aircraft capable of vertical takeoff, vertical landing, and/or flight in a hovering orientation is presented; its fixed-wing is positively-swept and of low aspect-ratio with suitable airfoils. The unmanned aircraft includes a thruster comprising two contra-rotating motors and propellers forward of the fixed-wing's leading-edge and a rudderless fin aft of the center-of-mass, all of which lie on the aircraft's plane-of-symmetry. Two elevons provide pitch and roll control. The unmanned aircraft can stand upright on its feet. A control system for aircraft with at least one wing is also presented. The control system includes a mount and attached thruster which lie on the plane-of-symmetry forward of the fixed-wing's leading-edge. A hinge axis approximately perpendicular to the aircraft's horizontal plane passes through the mount. The thruster rotates about the hinge axis for aircraft yaw control.

Provided is a user equipment for controlling a drone. The user equipment analyzes an original video to control the drone to photograph a reproduction video giving a feeling identical to or similar to the original video. An electronic device may be connected to an artificial intelligence module, a robot, an augmented reality (AR) device, a virtual reality (VR) device, a device related to 5G service, and the like.

A flight plan generation device for generating a flight plan of a flight device that transmits a captured image captured by an imaging unit through wireless communication during flight includes a first acquisition unit configured to acquire target information for specifying an imaging target to be imaged by the imaging unit during flight of the flight device and image quality information for specifying required image quality of a captured image of the imaging target, a second acquisition unit configured to acquire communication quality information on wireless communication quality in a predetermined area including at least a flight airspace of the flight device, and a flight plan generation unit configured to generate a flight plan including a flight path of the flight device and an imaging parameter of the imaging unit based on the acquired target information, image quality information, and communication quality information.

An information processing device determines, based on location information of a plurality of delivery destinations for package delivery: one or a plurality of first delivery destinations for package delivery by a vehicle; and one or a plurality of second delivery destinations for package delivery by a drone mounted on the vehicle. In addition, the information processing device determines: a travel route including a route for the vehicle to perform package delivery to the one or plurality of first delivery destinations; a first point on the travel route for the drone to start flying from the vehicle to the one or plurality of second delivery destinations; and a second point on the travel route for the drone to return to the vehicle.

Systems and methods to control gain of an electric aircraft are provided in this disclosure. The system may include gain scheduling to provide stability of the electric aircraft at various dynamic states of operation. The system may include a sensor to obtain measurement datum of an operating state. The system may further include a controller that adjusts a control gain of the electric aircraft as a function of the measurement datum. The gain control may be determined by a gain schedule generated by the controller.

Provided is an abnormality detection device for a rotary wing unit. The rotary wing unit includes a plurality of rotary wings that is coaxially disposed. The abnormality detection device includes a controller configured to acquire at least one of a correlation at the time of normal operation between operation parameters related to the rotary wings and a correlation at the time of abnormal operation between the operation parameters and detect abnormality of the rotary wing unit, based on a correlation at the time of actual operation between the operation parameters and at least one of the correlation at the time of normal operation and the correlation at the time of abnormal operation.

A response system may be provided. The response system may include a security system and an autonomous drone. The security system includes a security sensor and a controller. The drone includes a processor, a memory in communication with the processor, and a drone sensor. The processor may be programmed to receive the deployment request from the security system, navigate to the one or more zones of the coverage area included in the deployment request, collect drone sensor data of the one or more zones of the coverage area using the at least one drone sensor, determine that an incident has occurred, and/or transmit the collected drone sensor data and incident verification to the security system, wherein, in response to receiving the collected drone sensor data and incident verification, the security system is configured to generate a command for responding to the incident.