An example method includes: receiving information indicative of a desired aircraft cruise insertion point comprising achieving a desired cruise altitude for an aircraft within a predetermined period of time from departure, or within a predetermined distance from departure; determining a desired airspeed for the aircraft; prior to a flight of the aircraft, determining, based on the desired airspeed and the desired aircraft cruise insertion point, a climb trajectory for the aircraft; and during a climb flight phase of the aircraft, varying climb thrust of an engine of the aircraft to follow the climb trajectory and achieve the desired aircraft cruise insertion point.

The present disclosure provides a method for controlling a drone, a drone, and a system. The method for controlling a drone comprises: determining operating parameters of a moving platform according to field-of-view images containing the moving platform collected at any two different moments and flight parameters of the drone; calculating a time-varying tracking position of the moving platform based on the operating parameters; controlling the drone to track the moving platform according to the time-varying tracking position of the moving platform; and controlling the drone to perform a landing operation according to a relative position of the moving platform and the drone during tracking. The technical solutions according to the present disclosure have high landing accuracy, rely less on device performance and have high versatility.

A method, system, and device for planning a path for a forced landing of an aircraft based on image recognition are provided. The method includes: calculating an endurance distance of an aircraft based on sensor data and meteorological information; obtaining an alternative landing area by a satellite image containing contour information and a terrain image recognition model; obtaining a current satellite image of the alternative landing area and determining a landing area; and selecting a landing site by a landing site decision model and generating a path for a forced landing, such that the aircraft completes a forced landing task according to the path for the forced landing. The method, system, and device can automatically recognize image information, select a best landing site, and generate a path for a forced landing to assist a pilot in performing a forced landing task.

A system for initiating a command of an electric vertical take-off and landing (eVTOL) aircraft includes a flight controller configured to receive a topographical datum, identify an air position as a function of a sensor and the topographical datum, wherein identifying further comprises obtaining a sensor datum as a function of the sensor, and identifying the air position as a function of the sensor datum and the topographical datum using a similarity function, determine a command as a function of the air position, and initiate the command.

A spacecraft including: an engine; a thrust vector control device controlling a thrust vector as a direction of a thrust acting on the spacecraft; and a main control device configured to acquire state quantities of the spacecraft in a powered descending in which the spacecraft is guided to a target point while the engine generates the thrust, and generate a throttling command by which combustion of the engine is controlled and an operation command by which the thrust vector control device is operated. The state quantities contain a first acceleration parameter and a second acceleration parameter. The first and second acceleration parameters are calculated as coefficients A and B obtained by fitting based on acceleration of the spacecraft previously detected, supposing the following equation is satisfied between a reciprocal number 1/a of the acceleration a of the spacecraft and time t:
1/a=−At+B  (1).

Embodiments of the present invention are a returning method, a controller, an unmanned aerial vehicle and a storage medium. The returning method includes: first obtaining a flight mode of an unmanned aerial vehicle, and determining a returning mode of the unmanned aerial vehicle according to the flight mode; then controlling, according to the returning mode, the unmanned aerial vehicle to return from a current position to a landing point, and determining, in a returning process, whether to switch the returning mode of the unmanned aerial vehicle according to a flight speed of the unmanned aerial vehicle; returning according to a switched returning mode when it is determined to switch the returning mode of the unmanned aerial vehicle; and keeping the current returning mode and returning when it is determined not to switch the returning mode of the unmanned aerial vehicle.

An automatic trajectory generation system bringing a flying aircraft from a current position to a destination which: obtains polygons representing obstacles potentially encountered, each polygon associated with an altitude layer; defines two first tangential circles relative to a current direction of the aircraft flight, centered on the right and the left, relative to the aircraft current position; defining two second circles tangential relative to a direction to be followed to destination, centered on the right and the left, relative to the georeferenced destination position; defines a third circle around vertices of the polygons; and searches for a flyable lateral trajectory between the aircraft current position and the destination by bypassing the polygons by the vertices in searching for tangential trajectories between the circles, by observing a pre-established vertical trajectory profile, as well as the lateral margin and a vertical margin with the polygons.

Example UAV landing systems and methods are described. In one implementation, a landing platform includes a conveyor belt capable of supporting an unmanned aerial vehicle (UAV). The conveyor belt can move in a first direction and a second direction that is opposite the first direction. The landing platform also includes a first positioning bumper and a second positioning bumper, where the first positioning bumper and the second positioning bumper are capable of repositioning the UAV on the conveyor belt. The landing platform further includes a cradle that can receive and secure the UAV.

A system for providing a smart, self-healing blockchain-based data exchange data storage device within a self-healing node centric blockchain mesh network, a smart self-healing data exchange device being within one or more universal computing nodes within a self-healing node centric blockchain mesh network is disclosed. The smart self-healing data exchange device being contained within one or more universal computing nodes within a self-healing node-centric blockchain mesh network. The smart self-healing blockchain data exchange device includes a blockchain processor for storing and maintaining a set of blockchain data records stored within a blockchain ledger, each blockchain data record within the set of blockchain data records having a blockchain ID, a universal computing node ID, a bundle of digital access rights, and content data, and an instantiation of the blockchain ledger communicatively coupled to the blockchain processor is stored within a plurality of the one or more universal computing nodes within a self-healing node centric blockchain mesh network. The bundle of digital access rights provides for rights and privileges associated with blockchain data records that can be divided by use, terms, and ownership.

A control system of an air vehicle for urban air mobility (UAM) is provided. A human-machine interface (HMI) system enables people to more easily control the air vehicle for UAM with a familiar method. The control system includes a steeling wheel operated for steering of the air vehicle, an accelerator pedal operated for acceleration of the air vehicle, and a decelerator pedal operated for deceleration and braking of the air vehicle. An altitude designating device selects and designates a target altitude and a controller generates a control command for adjusting altitude, acceleration, deceleration and braking, and steering of the air vehicle, based on air vehicle driving information. A drive device is then operated according to the control command generated from the controller.