An aircraft flight control apparatus includes a flight track acquiring unit and a determining unit. The flight track acquiring unit is configured to measure a position of an aircraft to acquire a flight track of the aircraft. The determining unit is configured to determine, when an own-aircraft deviation amount gradually increases, whether the aircraft receives a spoofed signal as a satellite positioning system signal, on the basis of the own-aircraft deviation amount. The own-aircraft deviation amount is an amount of deviation of the flight track acquired by the flight track acquiring unit from a scheduled flight route of the aircraft.

Provided is a method of avoiding collision of an unmanned aerial vehicle with an obstacle, the method including: calculating two potential fields using ament positional information of the unmanned aerial vehicle, a target point that is set, and positional information of the obstacle measured by a sensor, computing an attractive force and a repulsive force by differentiating the computed potential fields, respectively; computing a direction of a potential force that results from adding up the computed attractive force and repulsive force; and performing control that brings about a change from the computed direction of the potential force to a direction in which the unmanned aerial vehicle moves.

Disclosed are an anti-collision system and method for an aircraft and an aircraft including the anti-collision system. The anti-collision system includes: a sensor data processing unit configured to process data received from a plurality of sensors to detect objects around the aircraft, and output a result about detected objects; a safeguarding box building unit configured to generate, based on an aircraft geometry database, a three-dimensional safeguarding box for the aircraft; and a risk assessment unit configured to calculate relative distances between detected objects and the aircraft, and determine whether there is a collision risk between the aircraft and an object, among the detected objects, located in the safeguarding box or to be entering into the safeguarding box, wherein the system is configured to output an alarm or a warning when there is the collision risk.

A method for determining an optimized trajectory to be followed by an aircraft, the method being implemented by a determining system of the aircraft and comprising: a first step for acquiring at least one constraint relative to at least one parameter of the trajectory to be followed, the constraint being determined by a control system of a remote station as a function of the air traffic and/or the aircraft mission; a step for calculating a desired trajectory as a function of the constraint; a step for transmitting the desired trajectory to the remote station; a second step for acquiring an instruction comprising an authorization to follow the desired trajectory or a refusal of the desired trajectory.

A traffic information processing equipment, system and method. The traffic information processing equipment includes an image recognition and decision device and a warning device. The image recognition and decision device is configured to process a received traffic route image to identify a scene, and determine whether to perform a warning operation according to the scene to obtain a determination result. The warning device is configured to generate warning information according to the determination result for sending prompt information to vehicles in a traffic route.

The present invention relates to a method for assisting the landing of an aircraft on a landing runway, the method comprising: detecting, by a radar, characteristic elements of the landing runway, determining the angular offset between the axis of the radar and the runway axis as a function of the coordinates of the characteristic elements detected, and determining, as a function of the angular offset determined and the coordinates of the characteristic elements detected: the distance of the orthogonal projection onto the runway axis from the horizontal projection of the radar, and the distance of the orthogonal projection onto the straight line passing through the runway threshold from the horizontal projection of the radar.

A computer-implemented method for generating labeled training data for an artificial intelligence machine is provided. The method comprises at least the steps of: defining parameters for a scenario of an aircraft approaching a runway; using the parameters of the scenario in a flight simulator to generate simulated flight data, the flight simulator being configured so as to simulate the aircraft in the approach phase and an associated autopilot; using the simulated flight data in a sensor simulator to generate simulated sensor data, the sensor simulator being configured so as to simulate a forward-facing sensor on board an aircraft and able to provide sensor data representative of information of interest of a runway, the simulated sensor data that are generated being representative of information of interest of the runway; and using the simulated flight data and the simulated sensor data to generate a ground truth, the ground truth associated with the simulated sensor data forming a pair of simulated labeled training data.

A management of the elements of the context of one or more flight plans is provided. The systems, methods and computer programs allowing real-time collaborative work on and around one or more flight plans between multiple remote systems are provided. A first system comprises receiving a modification, made on a second system, to a flight plan and to a set of associated objects or to another set of non-associated objects, displaying the modification and, if the modification is validated, returning the modification, as applied to the first system, to the second system to ensure uniformity around the collaborative navigation space between remote parties.

A method for supervising an air traffic tracking system, in a current situation of the tracking system as defined by a position and a speed vector relating to at least one aircraft is provided. The method comprises a step of determining performance indicator values representing the current situation. The method comprising the steps of: determining an operating feature of the tracking system for the current situation on the basis of the performance indicator values; if the operating feature is representative of an operating abnormality of the tracking system, determining at least one performance indicator corresponding to the operating abnormality, and determining values of the at least one performance indicator corresponding to normal operation; determining at least one quality of service measure of the tracking system for the current situation based on the performance indicator values; if the at least one quality of service measure is representative of a degradation in the quality of service, determining at least one performance indicator corresponding to the degradation in the quality of service; executing at least one evaluation process associated with the at least one performance indicator corresponding to the operating abnormality and/or to the degradation in the quality of service.

Devices and methods implemented by a computer for connecting between a human-machine interface (e.g. graphical), supplied with data, in particular traffic and meteorology data, and a system for computing paths (e.g. avionic flight management), for interactive exploration of usable flight paths for managing the spatial congestion around the path of a vehicle are provided. Developments describe the particular case of an aircraft, such as mission management, the gathering of spatial, temporal or technical constraints relating to the spatial congestion within the determined potential airspace, the monitoring of changes in the spatial congestion of the airspace, excursions of the aircraft, miscellaneous displays, and n particular superimposed displays. Various types of human-machine interfaces are described, involving virtual or augmented reality and being configured to display data in 2D, 3D and/or 4D.