Abstract: According to an embodiment of the present invention, an unmanned aerial vehicle (UAV) may recognize at least some of the light output from light sources of other unmanned aerial vehicles in swarm flight, and correct the location error based on the recognized light. An unmanned aerial vehicle (UAV) according to an embodiment of the present invention may be linked to an Artificial Intelligence module, a robot, a device related to a 5G service, and the like.

Abstract: An altitude measuring method of an unmanned aerial robot is provided. The robot adjusts a level of the unmanned aerial robot so that the robot is at a horizontal state with respect the ground to measure the altitude. The robot generates a plurality of laser beams to the ground, and photographs the ground through the camera. The robot calculates a vertical distance from the ground to the robot based on the photographed image of the ground and the plurality of laser beams.

Abstract: An unmanned aerial vehicle (UAV) according to an embodiment of a present invention may include a drive motor that rotates a propeller in a clockwise or counterclockwise direction, and a servo motor that tilts the propeller, so that it may fly in a posture for calibration of sensors. An unmanned aerial vehicle (UAV) according to an embodiment of the present invention may be linked to an Artificial Intelligence module, a robot, a device related to a 5G service, and the like.

Abstract: According to an embodiment of the present invention, an unmanned aerial vehicle (UAV) may recognize at least some of light output from light sources of a station, and determine a current location based on the recognized light. At least one of the unmanned aerial vehicle and the station according to an embodiment of the present invention may be linked to an Artificial Intelligence module, a robot, a device related to a 5G service, and the like.

Abstract: A flight system for indoor positioning includes an unmanned aerial robot, and a station and a server of the unmanned aerial robot. The unmanned aerial robot may sense a plurality of laser beams generated from the station through a first camera and/or a first sensor, perform adjustment such that a horizontal axis position of the unmanned aerial robot is located at a center position of a measurement space for the indoor positioning based on the plurality of sensed laser beams, and perform positioning in the measurement space while flying in a vertical direction.

Abstract: Provided is a controller for an unmanned aerial vehicle, including a control ball including a 3-axis acceleration sensor, a support unit for supporting the control ball so that the control ball is moved in position or rotated within a given range in a three-dimensional space, a processor for generating a control signal for controlling a motion of the unmanned aerial vehicle so that the unmanned aerial vehicle corresponds to a change in the 3-axis acceleration of the control ball, and a communication module for transmitting the control signal to the unmanned aerial vehicle. The present disclosure can be associated with an artificial intelligence module, a robot, an augmented reality (AR) device, a virtual reality (VR) device, and devices related to 5G service.

Abstract: Provided is an operation/posture control method of an unmanned aerial robot. More particularly, a position and posture of the unmanned aerial robot may be measured using a first sensor, and sensing information of the wind for charging a battery of the unmanned aerial robot may be measured using a second sensor. A drone based on the sensing information controls a posture of the unmanned aerial robot such that an angle between the unmanned aerial robot and the ground becomes a specific angle to generate power through a rotation of a propeller in the specific angle based on the sensing information, and the battery may be charged through the generated power.

Abstract: A method of controlling an unmanned aerial robot can include receiving a control message including zone information related to photographing one or more security zones; calculating a photographing zone of a camera of the unmanned aerial robot based on at least one of global positioning system (GPS) information of the unmanned aerial robot, angle information related to a photographing angle of the camera, or operation information related to a zoom operation of the camera; in response to a security zone among the one or more security zones being located on a photographing path of the unmanned aerial robot, comparing the photographing zone with the security zone; and photographing the photographing zone using the camera according to a comparison result of the comparing, in which a portion or an entirety the security zone is included or excluded from the photographing zone based on a specific operation.