The preferred embodiments relate to a method for controlling a flight movement of an aerial vehicle for landing the aerial vehicle, including: recording of first image data by means of a first camera device, which is provided on an aerial vehicle, and is configured to record an area of ground, wherein the first image data is indicative of a first sequence of first camera images. The method also includes recording of second image data by means of a second camera device, which is provided on the aerial vehicle, and is configured to record the area of ground, wherein the second image data is indicative of a second sequence of second camera images.

A method for assisting the piloting of a rotorcraft including at least two engines capable of transmitting engine torque to at least one main rotor, the assistance method comprising the following steps: periodically determining a current position of the rotorcraft; making a first periodic comparison between the current position and a decision point; identifying an engine failure; making a second periodic comparison between the current position of the rotorcraft and a touchdown point; periodically determining an emergency landing profile, the emergency landing profile being generated at least depending on a result of the second periodic comparison; and periodically generating control orders to pilot the rotorcraft according to the emergency landing profile.

A method, system, and device for planning a path for a forced landing of an aircraft based on image recognition are provided. The method includes: calculating an endurance distance of an aircraft based on sensor data and meteorological information; obtaining an alternative landing area by a satellite image containing contour information and a terrain image recognition model; obtaining a current satellite image of the alternative landing area and determining a landing area; and selecting a landing site by a landing site decision model and generating a path for a forced landing, such that the aircraft completes a forced landing task according to the path for the forced landing. The method, system, and device can automatically recognize image information, select a best landing site, and generate a path for a forced landing to assist a pilot in performing a forced landing task.

The present disclosure relates to an aerial vehicle for carrying a load. The aerial vehicle comprises an environmental monitoring system configured to monitor the environment of the aerial vehicle and a data processing circuitry. The data processing circuitry is configured to determine, based on the monitored environment, a risk to the environment posed by at least one of the aerial vehicle and the load of the aerial vehicle in case of a crash of the aerial vehicle. The data processing circuitry is further configured to cause, based on the determined risk, the aerial vehicle to carry out an action in order to reduce a damage to the environment in case of the crash.

Disclosed are methods, systems, and non-transitory computer-readable medium for controlling an automatic descent of a vehicle. For instance, the method may include: determining whether a descent trigger condition is present; and in response to determining the descent trigger condition is present, performing an automatic descent process. The automatic descent process may include: obtaining clearance data from an on-board system of the vehicle; generating a descent plan based on the clearance data, the descent plan including a supersonic-to-subsonic transition and/or a supersonic-descent to a target altitude; and generating actuator instructions to a control the vehicle to descend to the target altitude based on the descent plan.

An aircraft pilot incapacitation detection system includes a controller configured to determine, based on an input received from a flight control computer, a current flight parameter. The controller compares the current flight parameter to a corresponding predetermined flight metric associated with at least one of a predetermined flight plan or a benchmark for a predetermined flight stage. The controller determines, responsive to the comparison, that the aircraft is in an abnormal state and causes a first prompt by a user interface in communication with the controller, the first prompt being associated with a first time threshold. The controller determines whether the first time threshold is satisfied and, if so, subsequently initiates an emergency protocol and causes a second prompt associated with a second time threshold. Upon determining that the second time threshold has been satisfied, the controller carries out the emergency protocol.

An unmanned aerial vehicle and a fail-safe method thereof are provided. The unmanned aerial vehicle includes at least one actuator, a failure processing circuit, and a flight controller. The actuator is configured to drive the flight behavior of the unmanned aerial vehicle. The failure processing circuit is configured to: define a corresponding relationship between the multiple failure states and the multiple protection measures, wherein each protection measure is respectively defined with a priority level and each protection measure is used to correspondingly change the flight behavior of the unmanned aerial vehicle; determine multiple current failure states when the flight behavior takes place; and select, according to the corresponding relationship, the selected protection measure having the highest priority level among the protection measures corresponding to the current failure state. The flight controller is used to change the flight behavior of the unmanned aerial vehicle according to the selected protection measures.

Disclosed are methods, systems, and non-transitory computer-readable medium for controlling an automatic descent of a vehicle. For instance, the method may include: determining whether a descent trigger condition is present; and in response to determining the descent trigger condition is present, performing an automatic descent process. The automatic descent process may include: obtaining clearance data from an on-board system of the vehicle; generating a descent plan based on the clearance data, the descent plan including a supersonic-to-subsonic transition and/or a supersonic-descent to a target altitude; and generating actuator instructions to a control the vehicle to descend to the target altitude based on the descent plan.

A flight management device for managing a flying device which includes an identification unit configured to identify that the flying device is likely to fall and a communication unit configured to transmit the notification information representing that the flying device is likely to fall to the flight management device together with the position information representing a position in flight when the flying device is likely to fall. a notification unit configured to transmit warning information to a vehicle at a position corresponding to position information when notification information has been received from the flying device in flight.

In an example, an unmanned aerial vehicle (UAV) is disclosed, which includes an avionics system, a propulsion system, vertical-lift rotors, and a controller. The controller performs operations including, in response to detecting loss of operation of the propulsion system, determining energy and time constraints based on (i) a remaining avionics battery life and (ii) a remaining rotor battery life. The operations also include using a rotor edgewise inflow model stored on the controller, evaluate parameters for a glide descent trajectory and subsequent rotor-powered flight trajectory to a candidate landing site, to determine whether, based on evaluation of the parameters, an estimated energy consumption during the rotor-powered flight trajectory and time needed for the UAV to land at the candidate landing site exceed the constraints. The operations also include in response to determining that the estimated energy consumption and time needed exceed the energy and time constraints, selecting an alternative candidate landing site.