The disclosure relates to a method for guiding landing of an unmanned aerial vehicle. The method for guiding landing of unmanned aerial vehicle includes: determining location information of the unmanned aerial vehicle over a target airdrome by using a plurality of position detectors in an airdrome auxiliary positioning system; generating corrected guidance information according to an offset vector between the location information and target location information, where the target location information is information representing any location within signal coverage of a guidance beacon of the target airdrome; and sending the corrected guidance information to the unmanned aerial vehicle, where the corrected guidance information is used to guide the unmanned aerial vehicle to fly into the signal coverage of the guidance beacon.

An aircraft includes an airframe with a thrust array attached thereto. The thrust array includes a plurality of propulsion assemblies that are independently controlled by a flight control system. A landing gear assembly is coupled to the airframe and includes a plurality of landing feet. An altitude sensor array includes a plurality of altitude sensors each of which is disposed within one of the landing feet such that when the aircraft is in the VTOL orientation, the altitude sensor array is configured to obtain multifocal altitude data relative to a landing surface. The flight control system is configured to generate a three-dimensional terrain map of the surface based upon the multifocal altitude data.

A landing tracking control method comprises the following contents: a tracking model training stage and an unmanned aerial vehicle real-time tracking stage. The landing tracking control method extracts a network Snet by using a lightweight feature and makes modification, so that an extraction speed of the feature is increased to better meet a real-time requirement. Weight allocation on the importance of channel information is carried out to differentiate effective features more purposefully and utilize the features, so that the tracking precision is improved. In order to improve a training effect of the network, a loss function of an RPN network is optimized, a regression precision of a target frame is measured by using CIOU, and meanwhile, calculation of classified loss function is adjusted according to CIOU, and a relation between a regression network and classification network is enhanced.

An aircraft controller configured to determine a period and/or distance over which deployment of a landing gear can be initiated for landing including a determined first portion during which landing gear deployment can be safely initiated and a determined second portion, closer to aircraft landing than the first portion, during which the landing gear deployment can be safely initiated in an efficient landing mode; issue a first pilot feedback when the first portion is entered by the aircraft; issue a second pilot feedback when the second portion of the determined; and initiate landing gear deployment when the aircraft is in the determined period and/or distance in response to receiving a deployment signal from the pilot.

The embodiments are an aircraft return control method and device, an aircraft and a storage medium. The method includes: determining the location of a return target region according to the time and the phase of a return signal; and when flying to the return target region, according to a matching result between an image of a current region and a pre-collected image of the return target region, adjusting flight parameters to land at the return target. Embodiments of the present invention solve the technical problem in the prior art that the aircraft cannot be accurately landed at the return target due to the movement of the return target, and achieve the technical effect of controlling the aircraft to accurately and safely land at the return target on the return target region.

A method for providing cues to an aerial vehicle operator is disclosed. The method includes: determining when a vehicle is on final approach; processing a plurality of ground images of a ground path ahead of the vehicle; identifying a lane in the processed ground images; determining whether the identified lane corresponds to an assigned runway based on a relative position or a relative geometry of the identified lane; tracking during landing a left and a right side edge, a front edge, and a runway center line of the assigned runway; determining, relative to the runway center line, whether a relative position of the vehicle during landing is left of, right of, or aligned with the runway center line; and providing visual and/or audible guidance to the vehicle operator to take corrective action when the relative position of the vehicle during landing is not aligned with the runway center line.

According to the presently discloses subject matter, a flight path is autonomously generated (e.g. in response to an unexpected need to land the aircraft) leading the aircraft from its current position towards a target destination (e.g. a landing site) where the flight path is generated while taking into consideration flight constraints existing in the area and avoiding violation of the flight constraints. The flight path is then used for autonomous generation of flight instructions for controlling the aircraft and leading the aircraft to the desired destination.

A system and method for protecting a rotorcraft from entering a vortex ring state, the method including monitoring a vertical speed of a rotorcraft, comparing the vertical speed to a vertical speed safety threshold, and performing vortex ring state (VRS) avoidance in response to the vertical speed exceeding the vertical speed safety threshold. The performing the VRS avoidance includes determining a power margin available from one or more engines of the rotorcraft, limiting the vertical speed of the rotorcraft in response to the power margin exceeding a threshold, and increasing a forward airspeed of the rotorcraft in response to the power margin not exceeding the threshold.

A method for automated assignment of a staging pad to an unmanned aerial vehicle (UAV) includes: launching the UAV from a launch location; tracking a drift of the UAV from the launch location; determining a subsequent position of the UAV after the launching based upon geofiducial navigation; calculating an estimated position of the launch location by offsetting the subsequent position by the drift; attempting to match the estimated position to an available staging pad of a plurality of staging pads; and assigning the UAV to the available staging pad when the estimated position successfully matches to the available staging pad.

A ground state determination system for an aircraft includes sensors configured to detect parameters of the aircraft and a flight control system implementing a ground state module. The ground state module includes a ground state monitoring module configured to monitor the parameters and a ground state determination module configured to compare each of the parameters monitored by the ground state monitoring module to a respective parameter threshold to determine whether the aircraft is on a surface.