A system and method establish bidirectional communication between an UAV terminal and a GCS terminal. Each terminal includes first and second communication modules. The first communication module is based on a radio module and the second communication module is based on wireless communication for data transfer. Through the radio module, the first communication unit of GCS terminal requests the UAV terminal to activate the second communication unit. The flight control data is then transmitted to the UAV terminal from the GCS terminal where the flight mission is planned and optimized.

An aviation advisory module may include processing circuitry configured to receive data indicative of internal factors and external factors related to route optimization of an aircraft. At least some of the external factors may include dynamic parameters that are changeable while the aircraft is in-flight. The processing circuitry may also be configured to generate a guidance output associated with a route of the aircraft based on integration of the internal factors and the external factors to optimize the route for a user-selected cost parameter, and provide a graphical representation of the guidance output along with comparative data or context information associated with the user-selected cost parameter.

Disclosed herein is a terrestrial to air communications network that can be configured to include a spectrum management system that deterministically allocates spectrum to aircraft for use during flight. In one or more examples, a user transmits a flight plan to a spectrum management system that is configured to manage the RF spectrum in a given air space. In one or more examples, and based on the received flight plan, the spectrum management system can allocate an RF spectrum frequency slot (i.e., timeslot, subchannel, or resource block) for the aircraft to use during its intended flight. The spectrum management system can take into account available spectrum as well as the predicted network traffic and their spectrum allocations to determine an RF spectrum slot that can provide a stable and continuous communications channel to the aircraft during its flight.

An all-inclusive method for planning the operation of an aerial vehicle, in particular an eVTOL, which operation is divided into different operational areas each with its own individually validatable and inspectable planning methodology, including (i) pre-processing data on a computer basis on the ground before takeoff of the aerial vehicle; (ii) taking along pre-planned results of the data pre-processing in the form of a database (33, 44) on board the aerial vehicle, preferably after transferring the pre-planned results into the database (33, 44) on board the aerial vehicle; (iii) combining the pre-planned results by means of a computer-based decision logic (28) with planning steps at the flying time in accordance with a state of the aerial vehicle recorded by sensors for generating a current flight path; and (iv) controlling the aerial vehicle along the current flight path.

A method for determining transition height elements in a flight climbing stage based on constant value segment identification comprises the steps of splitting a speed component and a Mach component from a flight track, and performing linear interpolation on the two respectively; discretizing the interpolated speed component, and setting a threshold for filtering to obtain a speed discrete value set; identifying a constant-speed segment, and acquiring a maximum constant-speed value and a maximum moment of the constant-speed segment; keeping the Mach component of the track with a time no less than the constant-speed maximum moment; discretizing the kept Mach components, and filtering to obtain a Mach discrete value set; identifying a constant-Mach segment, and acquiring a constant-Mach value corresponding to a minimum moment of the constant-Mach segment; and calculating a transition height in the flight climbing stage according to the constant-speed value and the constant-Mach value obtained.

Methods and systems for identifying and displaying potentially hazardous segments on a planned route of a vehicle are disclosed. A method may include: predicting a movement of a condition of concern; analyzing the movement of the condition of concern and a movement of a vehicle traveling along a planned route to generate a projection of the condition of concern onto the planned route, wherein the projection indicates conditions the vehicle is predicted to encounter at a plurality of positions along the planned route; determining whether a portion of the planned route is potentially hazardous based on the projection of the condition of concern; and visually identifying the portion of the planned route that is potentially hazardous to a user. The method may also be utilized to facilitate a reroute process.

The invention relates to a method for inserting a segment (Tins) of flight plan into an initial flight plan (Pini) of an aircraft, performed by a flight management system (FMS) of the said aircraft, the initial flight plan (Pini) comprising an ordered series of initial legs (Sini), the said fixed initial legs being indexed with an index i that varies from 1 to n, the method comprising the steps involving: identifying (110), using a first iterative calculation on the index i, in the segment to be inserted (Tins), the fixed legs to be inserted that have a position identical to the position of the leg of index i Sini(i)),
the said legs thus determined being referred to as occurrences of the leg of index i, the said occurrences (O1, O2) being ordered by rank k varying from 1 to m, as a function of their position in the segment that is to be inserted (Tins), and searching, among the identified occurrences, for the occurrence of lowest index i and lowest rank k (O.sub.i0(k.sub.0)) that has a type and attribute values identical to the segment of index i, referred to as equivalent point, when the said equivalent point exists, inserting the segment that is to be inserted (Tins) from the said equivalent point, otherwise, inserting the segment that is to be inserted (Tins) from the identified occurrence of lowest index i and lowest rank k (O.sub.i1(k.sub.1)) referred to as a pseudo equivalent point, when the said pseudo equivalent point exists.

Topology based adaptive data gathering is disclosed herein. Payload data gathering by an unmanned aerial vehicle can be adjusted based on topological or topographical characteristics of the area of flight by the unmanned aerial vehicle. The unmanned aerial vehicle collects payload data over an area and may scale up the rate of payload data gathering or slow down the flight as the unmanned aerial vehicle flies over a high or complex structure. Conversely, the unmanned aerial vehicle may advantageously scale down the rate of payload data gathering or speed up the flight as the unmanned aerial vehicle flies over a simple structure or an empty area.

A flight management unit includes two guidance subsystems each including a flight management system, each of the flight management systems being configured at least to extract a flight plan from at least one navigation database, to construct a flight trajectory, and to compute guidance commands for the aircraft. The flight management unit also includes at least one monitoring unit configured to compute a guidance command from a validated flight trajectory and a consolidated flight plan and to monitor the guidance command, as well as guidance commands computed by the two flight management systems so as to be able to detect and to identify a defective flight management system.

A flight management system architecture with separate core and supplementary modules. In the core module, generic functionalties relative to the flight management of the aircraft are implemented. In the supplementary module, supplementary functions are implemented. The supplementary functionalities include functionalties specific to an entity to which the aircraft belongs such as the specific aircraft model, a family of airdraft, a company, an alliance, and so on. The flight management system also includes a message exchange interface in which enables the core and supplementary modules to exchanges messages with each other. The core and supplementary modules includes corresponding core module and supplementary module interfacing functionaltities that respectively interface with generic ans specific man-machine interfaces.