Embodiments of the present application provide a method, device, storage medium, and electronic device for controlling flight equipment, wherein the method includes: acquiring positioning position information from a positioning system deployed on a target flight equipment; detecting an operating state of the positioning system according to positioning position information, wherein the operating state comprises: normal state and abnormal state; when the operating state is an abnormal state, controlling the target flight equipment to return to a ground control terminal according to the relative position information between the target flight equipment and the ground control terminal of the target flight equipment.

A positioning system includes an elevation angle calculator that determines, as a second elevation angle, an inverse cosine of a first value, upon occurrence of a condition in which an absolute value of a first elevation angle is greater than or equal to a second predetermined angle, the second predetermined angle being greater than a first predetermined angle, the first value being obtained by dividing a second value that is obtained by correcting, with a correction value, an altitude measured by an altitude measurement unit, by a distance measured by a distance measurement unit. The elevation angle calculator selects any one of the first elevation angle and the second elevation angle, based on a value of the first elevation angle.

A system and a method of controlling a drone based on pressure are provided. The method includes: installing a pressure sensor under a bearing surface of a platform body; obtaining a pressure distribution map via the pressure sensor; obtaining a centroid on the bearing surface by inputting the pressure distribution map to a machine learning model; calculating a vector from a reference centroid on the bearing surface to the centroid; and controlling a flight of the drone according to the vector.

A method for controlling an unmanned aerial vehicle using a control apparatus, comprises: executing a navigation process by: obtaining a live video moving image from a navigation camera device of the UAV; and generating a navigation display interface for display on a display device of the control apparatus, the navigation display interface comprising a plurality of navigation augmented reality display elements related to a determined waypoint superimposed over the live video moving image; and when the UAV reaches the determined waypoint, executing a precision landing process by: generating a precision landing display interface for display on the display device, the precision landing display interface comprising a plurality of precision landing AR display elements related to a landing target associated with the determined waypoint superimposed over the live video moving image obtained from a precision landing camera device of the UAV.

A method for characterizing, in real time, atmospheric conditions in the environment of an aircraft, comprises steps of deploying, at a distance from the aircraft, a plurality of drones carrying equipment for characterizing atmospheric conditions, of calculating and transmitting positioning instructions for each drone with respect to the aircraft, of collecting, at one or more of these drones, measured data or calculated data regarding atmospheric variables, of transmitting these measured data thus collected from these drones to the aircraft, and processing these measured data thus transmitted so as to identify one or more atmospheric phenomena liable to affect the static and/or dynamic behavior of the aircraft.

The present invention relates to a method for controlling hand-over in a drone network. A method for controlling hand-over in a drone network that is established by a plurality of drones that constitute a formation, and controlled by a ground control station (GCS) that controls the location, configuration and mobility of each of the plurality of drones according to the present invention includes a phase via which the GCS predicts, based on previously stored control information, a drone that is to be newly deployed or transferred from another formation and allocates network connection information to the drone thus predicted; a phase via which the GCS generates a virtual routing table including the drone that is thus predicted to be deployed or transferred; a phase via which the GCS, upon actual deploying or transferring the predicted drone, changes the virtual routing table into an actual routing table; and a phase via which the GCS, upon the drone thus deployed or transferred transmitting a control message of the formation routing protocol, calibrates and optimizes the routing table.

Disclosed herein is a method and system for flying rotary wing drone. An add-on flight camera that is free to rotate around the vehicle's yaw axis is attached to the drone. The flight camera is automatically looking in the direction of its flight. The video from the flight camera is streamed to the operator's display. Thus the rotary wing drone can fly in any direction with respect to its structure, giving the operator a first person view along the flight path, thus keeping high level of situational awareness to the operator. The information required for controlling the camera orientation is derived from sensors, such as GPS, magnetometers, gyros and accelerometer. As a backup mode the information can be derived from propeller commands or tilt sensors.

A method of controlling a movable platform includes obtaining depth information of a scene in a first direction based on a first image captured by a first sensor of the movable platform and a third image by a third sensor of the movable platform, respectively; obtaining depth information of a scene in a second direction based on a second image captured by a second sensor of the movable platform and the third image by the third sensor of the movable platform, respectively; and controlling movement of the movable platform in space based on the depth information of the scene in the first direction and the second direction. The first sensor, the second sensor and the third sensor are mounted on the movable platform at substantially a same level. The third sensor has a first and a second overlapping field of view with the first sensor and the second sensor, respectively.

A flight control device performs flight control processing for causing a vertical takeoff and landing aircraft to fly. When a drive device abnormal occurs during vertical takeoff, the flight control device performs a takeoff processing in flight control processing. The flight control device performs an abnormal stop processing in the takeoff processing. In the abnormal stop processing, a processing for stopping the driving of the abnormal drive device is performed. The flight control device performs a correction increase processing. In the correction increase processing, the output of at least one normal drive device is increased. In the correction increase processing, for example, the output of an adjacent drive device among a plurality of normal drive devices is increased. The adjacent drive device is a normal drive device adjacent to the abnormal drive device in a circumferential direction of a yaw axis.

Disclosed is a nighttime cooperative positioning method based on an unmanned aerial vehicle (UAV) group, falling within the technical field of aircraft navigation and positioning. According to the present disclosure, the cooperative visual positioning and the collision warning for UAVs are realized by means of light colors of the UAVs, respective two-dimensional turntable cameras and a communication topology network, without adding additional equipment and without relying on an external signal source, avoiding external interference. Compared with the positioning method in a conventional manner, in the present disclosure, the system is effectively simplified, and the cooperative positioning among the interiors of a UAV cluster can be realized relatively simply and at a low cost to maintain the formation of the UAV group.