An autonomous landing system for vertical landing aircraft includes a vertical landing aircraft including a powertrain and an onboard camera, a motion-stabilized visual cue including a visual indicator, wherein the visual cue is configured to maintain a fixed orientation of the visual indicator with respect to a horizon, and an autonomous control system configured to control a position of the aircraft with respect to the visual indicator of the visual cue based on image data captured by the onboard camera.

A wind condition learning device according to the present disclosed technique includes: an input terminal to which a learning data set is input; and a calculator including AI to perform learning on the basis of the learning data set, in which one piece of the learning data set is a wind condition altitude distribution model value following a power law on an inflow side, and the other piece of the learning data set includes a wind speed average value, a wind speed maximum value, turbulence energy, or turbulence intensity in a wind condition distribution of an environmental space obtained by simulation.

A wind condition learning device according to the present disclosed technique includes: an input terminal to which a learning data set is input; and a calculator including AI to perform learning on the basis of the learning data set, in which one piece of the learning data set is a wind condition altitude distribution model value following a power law on an inflow side, and the other piece of the learning data set includes a wind speed average value, a wind speed maximum value, turbulence energy, or turbulence intensity in a wind condition distribution of an environmental space obtained by simulation.

A method and a system for establishing a route of an unmanned aerial vehicle are provided. The method includes identifying an object from surface scanning data and shaping a space, which facilitates autonomous flight, as a layer, collecting surface image data for a flight path from the shaped layer, and analyzing a change in image resolution according to a distance from the object through the collected surface image data and extracting an altitude value on a flight route.

A tactical system includes a first HUD system mountable to a first weapon and a second HUD system mountable to a second weapon. The first HUD system includes sensors providing position and orientation data of the first weapon, a processor to calculate a target position based on the position and orientation data, and a communications module to communicate the target position over a network. The second HUD system includes sensors providing position and orientation data of the second weapon, a communications module configured to import the target position from the network, and a processor to: calculate a position and an orientation of the second weapon based on the position and orientation data of the second weapon; calculate a target vector based on the target position and the position of the second weapon; and generate a target finder visualization based on the target vector and the orientation of the second weapon.

Techniques are described for enabling a drone device to use a dynamic multi-dimensional spatial representation of an indoor property environment to improve autonomous navigation. In some implementations, an instruction to perform an action at a particular location of a property is received by a drone device. A spatial representation of the property that identifies a dynamic object is obtained by the drone device. The status of the dynamic object impacts an ability of the drone device to navigate near the dynamic object. Sensor data collected by one or more sensors of a monitoring system of the property and that indicates a present status of the dynamic object is obtained by the drone device. A path to the particular location is determined by the drone device. The path to the particular location is finally navigated by the drone device.

A hand gesture controlled flying toy can utilize one or more infrared sensors and/or pressure sensors to determine how a user is interacting with the flying toy and conduct aerial maneuvers based on those interactions. The flying toy may be configured to ascend when lateral infrared sensors detect reflections of infrared light in multiple lateral directions. The flying toy may be configured to ascend when a pressure sensor detects a pressure increase from below the flying toy. The flying toy may be configured to conduct a roll responsive to an upward infrared sensor and a lateral infrared sensor detecting reflections of infrared light. The roll may be oriented at least partially based on which lateral infrared sensor detected a reflection.

The method includes: obtaining point cloud information collected by a depth camera, laser information collected by a lidar, and motion information of an unmanned aerial vehicle (UAV); generating a raster map based on the laser information, and obtaining pose information of the UAV based on the motion information; obtaining a map model through fusing the point cloud information, the raster map, and the pose information by a Bayesian fusion method; and correcting a latest map model by feature matching based on a previous map model.

An architecture related to advanced networking equipment providing aerial coverage data to unmanned aerial vehicles. A method can comprise based on object data, determining a number value associated with a group of beams configured to be emitted by serving cell equipment, based on down tilt data, determining a beam of the group of beams, and based on the object data and the down tilt data, determining that the serving cell equipment is capable of servicing an unmanned aerial vehicle.

The method for processing a depth map includes the following steps: S1: correcting an image of a target area that is collected by an image collection apparatus; S2: performing binocular matching on the image to obtain a depth map of the target area; and S3: acquiring a distribution of obstacles around an UAV according to the depth map. The method further includes: acquiring execution times of the foregoing steps before executing the steps; and establishing at least two threads and at least one ring queue according to the execution times of the steps, and executing the steps by the at least two threads to reduce a total execution time.