Embodiments of the present invention are a returning method, a controller, an unmanned aerial vehicle and a storage medium. The returning method includes: first obtaining a flight mode of an unmanned aerial vehicle, and determining a returning mode of the unmanned aerial vehicle according to the flight mode; then controlling, according to the returning mode, the unmanned aerial vehicle to return from a current position to a landing point, and determining, in a returning process, whether to switch the returning mode of the unmanned aerial vehicle according to a flight speed of the unmanned aerial vehicle; returning according to a switched returning mode when it is determined to switch the returning mode of the unmanned aerial vehicle; and keeping the current returning mode and returning when it is determined not to switch the returning mode of the unmanned aerial vehicle.

A package delivery system uses unmanned aircraft operable to transition between thrust-borne lift in a VTOL configuration and wing-borne lift in a forward flight configuration. Each of the aircraft includes an airframe having at least one wing with a distributed thrust array coupled to the airframe. The distributed thrust array includes a plurality of propulsion assemblies configured to provide vertical thrust in the VTOL configuration and a plurality of propulsion assemblies configured to provide forward thrust in the forward flight configuration. A package delivery module is coupled to the airframe. A control system is operably associated with the distributed thrust array and the package delivery module. The control system is configured to individually control each of the propulsion assemblies and control package release operations of the package delivery module. The system includes a ground station configured to remotely communicate with the control systems of the aircraft during package delivery missions.

A control system of an air vehicle for urban air mobility (UAM) is provided. A human-machine interface (HMI) system enables people to more easily control the air vehicle for UAM with a familiar method. The control system includes a steeling wheel operated for steering of the air vehicle, an accelerator pedal operated for acceleration of the air vehicle, and a decelerator pedal operated for deceleration and braking of the air vehicle. An altitude designating device selects and designates a target altitude and a controller generates a control command for adjusting altitude, acceleration, deceleration and braking, and steering of the air vehicle, based on air vehicle driving information. A drive device is then operated according to the control command generated from the controller.

A technique for validating a balcony to receive delivery of a parcel via a UAV includes obtaining a first identification of a general location of the balcony; generating a first image representing a building including the balcony where the first image is selected based upon the location identified; obtaining a second identification or a confirmation of a precise location of the balcony in the building where the second identification or the confirmation are received in response to an end-user interaction with the first image; determining a deliverability score based at least in part on the precise location of the balcony; and indicating an enrollment status to the end-user where the enrollment status is generated based upon the deliverability score.

A computer-implemented method for controlling an unmanned aerial vehicle (UAV) includes obtaining a first image captured by an imaging device carried by the UAV during a takeoff of the UAV from a target location, obtaining a second image from the imaging device in response to an indication to return to the target location, determining a spatial relationship between the UAV and the target location by comparing the first image and the second image, and controlling the UAV to approach the target location based at least in part on the spatial relationship.

A system and method of shifting a premature descent protection envelope for an aircraft has been developed. First, a premature descent protection envelope (PDP) is determined including a first boundary at a first distance from the runway. Next, a nominal approach path is determined for approaching the runway and an approach path angle. Also, a flight path angle of the aircraft is determined. The first boundary is shifted in an upward direction from the runway in response to the aircraft being below the nominal approach path, and the flight path angle being greater than the nominal approach path angle.

An autonomous remote device for deployment in an area, comprising: a mechanism for launching the device airborne from a first of a plurality of locations; a mechanism for navigating the device when airborne to a second of the plurality of locations; and a mechanism for landing the device at the second of the plurality of locations.

The present disclosure provides a control method of a UAV, a control device of a UAV, and a computer-readable storage medium, and relates to the technical field of UAVs. The control method of a UAV includes: determining a deviation between a vertical mapping point on the ground and a landing point of the UAV, the deviation comprising a deviation in a horizontal axis direction of a camera coordinate system and a deviation in a vertical axis direction of the camera coordinate system; and generating speed control amounts of the UAV in the horizontal axis direction and the vertical axis direction of the camera coordinate system by a controller, using the deviation in the horizontal axis direction and the deviation in the vertical axis direction.

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.

A landing zone landing assistance system for a rotary wing aircraft, the system includes a computer, an HMI for interacting with the pilot of the aircraft, an optical assembly provided with at least one optical sensor, a radar assembly provided with at least one radar detector and an inertial unit, wherein the computer is configured to implement the following steps: a first step (Step1) consisting in determining an optical image of the possible landing zone; a second step (Step2) consisting in determining the relative position of the landing zone with respect to said system in the terrestrial reference frame; a third step (Step3) consisting in determining a landing zone approach path; and a fourth step (Step4) consisting in supplying to the HMI a deviation between the position of the system and the approach path.