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.

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 control system in communication with one of an aircraft navigational aid system and an aircraft surveillance system is described. The control system obtains measurement data associated with radio frequency (RF) signals transmitted by the one of the aircraft navigational aid system and the aircraft surveillance system from an unmanned aerial vehicle (UAV) reporting the measurement data. The control system also determines whether the measurement data indicates the RF signals are within a range of values based on a location of the UAV in an airspace proximate to the one of the aircraft navigational aid system and the aircraft surveillance system. The control system further controls the RF signals transmitted by the one of the aircraft navigational aid system and the aircraft surveillance system based on the measurement data and the location of the UAV. Methods performed by the control system are also described.

Methods and systems are provided for assisting operation of a vehicle by automatically initiating activation of an automated functionality, such as autoland functionality of an aircraft, in the absence of user input within one or more monitoring periods. One method involves identifying a triggering event, identifying a monitoring period associated with the triggering event, monitoring one or more components for user input within the monitoring period associated with the triggering event, and automatically initiating activation of an automated functionality associated with the vehicle in the absence of user input within the monitoring period associated with the triggering event. In some implementations, the monitoring period adaptively and dynamically varies during operation.

Methods and system for alerting a Visual Decent Point (VDP) in an aircraft system. The methods and systems retrieve runway altitude data and Minimum Descent Altitude (MDA) data from an avionics database for a target runway. Data in the avionics database for the target runway does not include a published VDP. The method includes calculating the VDP based on a difference between the runway altitude data and the MDA so as to achieve a target downward acceptable glidepath angle during final descent from the MDA to the target runway. The method includes outputting an alert of the VDP by an output device of the aircraft system.

A system for electric aircraft navigation includes a sensor configured to detect a navigation signal, a flight controller, wherein the flight controller is configured to receive the navigation signal, identify a navigation status as a function of the navigation signal, and determine an aircraft adjustment as a function of the navigation status, and a pilot display, wherein the pilot display is configured to display the aircraft adjustment to a user, and present an autonomous function configured to enact the aircraft adjustment automatically.

A system may include a user interface and a processor. The processor may be configured to (a) pre-arm multiple actions according to a conditional timeline and any associated trigger events, and (b) output commands to cause the multiple actions to be completed at times consistent with the conditional timeline and any associated trigger events.

Systems and methods for service drone landing zone operations are disclosed herein. An example method includes determining location-specific information for a location, the location-specific information including at least images of the location from at least one of a vehicle or a mobile device at the location, determining a landing area for a drone at the location using the location-specific information. receiving localizing signals from at least one of the vehicle or the mobile device as the drone approaches the location, and causing the drone to land in the landing area using the localizing signals.

This disclosure provides a monitoring system, a base station, and a control method of drones. The drone includes a battery that supplies electric power for the drone and that connects with a charging connector. The base station includes a charging device, and the charging device includes a power supply connector, a power supply, and a power controller. The power supply connector is used for connecting to the charging connector. The power supply provides electric power. The power controller is coupled to the power supply and the power supply connector. The power controller is used to determine the battery specification of the battery and charge the battery from the power supply according to the battery specification. Thereby, the charging efficiency can be improved and the charging abnormality can be avoided.