The embodiments are an aircraft return control method and device, an aircraft and a storage medium. The method includes: determining the location of a return target region according to the time and the phase of a return signal; and when flying to the return target region, according to a matching result between an image of a current region and a pre-collected image of the return target region, adjusting flight parameters to land at the return target. Embodiments of the present invention solve the technical problem in the prior art that the aircraft cannot be accurately landed at the return target due to the movement of the return target, and achieve the technical effect of controlling the aircraft to accurately and safely land at the return target on the return target region.

A computer-implemented method of enabling optimisation of derate for a propulsion system of a vehicle, the method comprising: determining a derate for the propulsion system of the vehicle using: an algorithm; a vehicle model defining path constraints for the vehicle through space; a propulsion system model defining parameters of the propulsion system; an objective function defining one or more objectives; and controlling output of the determined derate.

In some examples, an unmanned aerial vehicle (UAV) may determine a first acceleration of the UAV based at least on information from an onboard accelerometer received at least one of prior to or during takeoff. The UAV may determine a second acceleration of the UAV based at least on location information received via a satellite positioning system receiver at least one of prior to or during takeoff. The UAV may further determine a relative heading of the UAV based at least in part on the first acceleration and the second acceleration, and may be directed to navigate an environment based at least on the determined relative heading.

The present disclosure according to at least one embodiment provides a a method for managing, by a computing device, a flight plan of an unmanned aerial vehicle, the method comprising: receiving input information including a departure location and a destination of the unmanned aerial vehicle, inputting the input information into a pre-constructed artificial intelligence model, acquiring at least one of a travel path, a takeoff scheme, an altitude climb scheme at the departure location, an arrival scheme at the destination, or a landing scheme on the destination from the artificial intelligence model, and providing a flight plan including the acquired at least one of the travel path, the takeoff scheme, the altitude climb scheme at the departure location, the arrival scheme as the destination, and the landing scheme on the destination.

An automatic take-off and landing control device for an aircraft is provided. The control device comprises at least two of at least one local tracking device adapted for receiving at least one local signal from at least one local ground station and for determining a position of the aircraft based on the local signals, at least one GNSS tracking device adapted for receiving a GNSS signal and for determining a position of the aircraft based on the GNSS signal; and at least one camera device adapted for observing an environment of the aircraft and for determining a position of the aircraft based on the camera signal.

Methods, devices, and systems for ground traffic aircraft management are described herein. One device includes a user interface, a memory, and a processor configured to execute executable instructions stored in the memory to receive airport information associated with an airport, generate, using the airport information, a map of the airport, display an intersection on the map of the airport, receive a selection of the intersection, and display flight information of each of a plurality of aircraft passing through the intersection within a particular period of time and the map of the airport in a single integrated display responsive to receiving the selection of the intersection.

A method and system allowing fully autonomous automatic take-off using only images captured by cameras on the aircraft and avionics data. The system includes an image capture device on the aircraft to take a stream of images of the runway, image processing modules to estimate, on the basis of the streams of images, a preliminary current position of the aircraft on the runway and to assign a preliminary confidence index to the estimate. A data consolidation module can determine a relevant current position of the aircraft on the runway by consolidating data originating from the image processing modules with inertial data to correct the estimate of the preliminary current position and determine a relevant confidence index using a current speed of the wheels of the aircraft to refine the preliminary confidence index. A flight control computer can control and guide aircraft take-off.

A method, system, and computer program product for providing an indication that a received vehicle operation instruction can be performed is provided. During operation of a vehicle a vehicle operation instruction is received and at least one vehicle performance parameter to perform the vehicle operation instruction is calculated. Then, a determination is made as to whether the calculated at least one vehicle performance parameter exceeds performance limitations of the vehicle. If at least one performance parameter exceeds a performance limitation, then a first alert is generated and output.

A method includes detecting, by a processing circuit, a high-speed rejected takeoff has occurred by determining an aircraft has accelerated to at least a first preset indicated airspeed value and then by determining the aircraft has decelerated below at least a second preset indicated airspeed value and the aircraft is on the ground. The method also includes detecting, by the processing circuit, an event other than the high-speed rejected takeoff has occurred by determining the aircraft has not accelerated to at least the first preset indicated airspeed value, or by determining the aircraft has accelerated to at least the first preset indicated airspeed value and the aircraft has not decelerated below at least the second preset indicated airspeed value, or by determining the aircraft is airborne.

Disclosed are examples of systems, apparatus, methods and computer program products for locating unmanned aerial vehicles (UAVs). A region of airspace may be scanned with two scanning apparatuses. Each scanning apparatus may include one or more directional Radio Frequency (RF) antennae. The two scanning apparatuses may have different locations. Radio frequency signals emitted by a UAV can be received at each of the two scanning apparatuses. The received radio frequency signals can be processed to determine a first location of the UAV.