A flight management system of an aircraft includes a first non-critical or open world module for creating an enhanced enriched flight plan, the first module being configured to create the enhanced enriched flight plan iteratively by the following steps: initialisation of pseudo-constraints; and iterative enhancement of the choice of pseudo-constraints, until an objective of enhancement or of absence of enhancement with respect to the last best choice of pseudo-constraints is reached, based on at least one optimisation criterion and on at least one parameter representative of the environment of the flight of the aircraft; the second critical or flight management avionics module certified to calculate a path, comprising at least one critical computer and/or at least one critical piece of software for calculating and delivering as output a secured path, based on the enhanced enriched flight plan supplied by the first module.

A computer-implemented method for optimizing a mission of an aircraft, the aircraft having a predefined flight plan between a starting point and an arrival point, the flight plan comprising a set of waypoints. The method comprises steps of: calculating, for the aircraft, a reference trajectory between the starting point and the arrival point, the reference trajectory comprising a set of segments and of intermediate points linking the segments of the reference trajectory; defining a search area in the reference trajectory between an initial position and a final position to be reached for this area; determining, in the search area, all possible shortcuts between the initial position and the final position, a shortcut being able to take into account any type of point, points of the flight plan and/or intermediate points of the reference trajectory; and identifying the combination of shortcuts corresponding to an optimum path according to an optimization criterion, the optimum path optimizing the mission of the aircraft in the search area.

A computer implemented method and system of instructing one or more weather drones. The method includes analysing a first data set comprising flight path data indicative of the flight paths of one or more aircrafts over a predefined time period. The method includes identifying, based on said analysis, at least one geographical region which is not intercepted by or adjacent to, any of the flight paths of the one or more aircrafts. The method includes instructing one or more weather drones to fly to the at least one geographical region.

A system for coordinating operations for a plurality of unmanned aerial vehicles (UAV) is provided. The system generates a time-based sequence comprising one or more operations for each UAV, each operation including an execution window and a duration, identifies coincident time periods between first and second execution windows, and prepares a modified time-based sequence for each of the plurality of UAVs. The preparing includes setting at least one of a first preferred start time (PST) for a respective operation within the first execution window and a second PST for a respective operation within the second execution window based on at least the estimated duration of each respective operation and the coincident time periods. The setting is configured to minimize overlap between respective operations within the first and second execution windows. Modified time-based sequences for the plurality of UAVs are then provided to an operator.

Aspects of the present disclosure provide systems and methods for in-flight go-around maneuver detection. An example method includes monitoring information associated with a flight path of a first aircraft while the first aircraft is flying. The method further includes detecting a maneuver associated with the flight path in response to one or more criteria associated with the monitored information being satisfied. The method further includes performing one or more actions associated with the second aircraft in response to detecting the maneuver.

A system and a method include a control unit configured to determine one or more fuel levels for an aircraft at one or more arrival airports for one or more alternate flight plans that divert from an original flight plan. The control unit is configured to determine the one or more fuel levels based on traffic at the one or more arrival airports, and performance data for the aircraft.

A request for transport services that identifies a rider, an origin, and a destination is received from a client device. Eligibility of the request to be serviced by a vertical take-off and landing (VTOL) aircraft is determined based on the origin and the destination. A transportation system determines a first and a second hub for a leg of the transport request serviced by the VTOL aircraft and calculates a set of candidate routes from the first hub to the second hub. A provisioned route is selected from among the set of candidate routes based on network and environmental parameters and objectives including pre-determined acceptable noise levels, weather, and the presence and planned routes of other VTOL aircrafts along each of the candidate routes.

A method and a system for establishing a route of an unmanned aerial vehicle are provided. The method includes identifying an object from surface scanning data and shaping a space, which facilitates autonomous flight, as a layer, collecting surface image data for a flight path from the shaped layer, and analyzing a change in image resolution according to a distance from the object through the collected surface image data and extracting an altitude value on a flight route.

An aircraft having an augmented reality flight control system integrated with and operable from the pilot seat and an associated pilot headgear unit, wherein the flight control system is supplemented by flight-assisting artificial intelligence and geo-location systems. Embodiments include an augmented reality flight control system incorporating real-world objects with virtual elements to provide relevant data to a pilot during aircraft flight. A translucent substrate is disposed in the pilot's field of view such that the pilot can see therethrough, and observe virtual elements displayed on the substrate. The system includes a headgear that is worn by the pilot. A flight assistance module is configured to receive data related to the aircraft and provide predictive assistance to the pilot during flight based on the received data based in part on a pilot profile having preferences related to the pilot.

A method is provided for supporting a robot in response to a contingency event. The method includes detecting the contingency event during travel of the robot on a route to a destination. In response, the method includes determining a position of the robot, and accessing information about alternate destinations associated with the route. The method includes selecting an alternate destination from the alternate destinations based on a time to travel from the position of the robot to the alternate destination, and the information. And the method includes outputting an indication of the alternate destination for use in at least one of guidance, navigation or control of the robot to the alternate destination.