Abstract: A station recognition and a landing method are disclosed. More specifically, an unmanned aerial robot includes a camera sensor configured to capture a first pattern that is marked on a station cover and is used for a station identification and a second pattern that is marked inside a station and is used for a precision landing; a transceiver configured to transmit and receive a radio signal; and a processor functionally connected to the camera sensor and the transceiver, wherein the processor is configured to determine a landing station for landing based on the first pattern captured by the camera sensor, control the transceiver to transmit a radio signal that indicates the landing station to open the station cover, and perform the precision landing at the landing station based on the second pattern of the landing station.

Abstract: Disclosed are a precise landing method using a multi-pattern in an unmanned aerial control system and an apparatus therefor. In an aspect of the present invention, a precise landing method using a multi-pattern of an unmanned aerial robot in an unmanned aerial control system includes receiving an image value from an outside and recognizing a multi-pattern in which control information for precise landing control has been coded based on the image value, obtaining control information when an ID value included in the control information indicates a landing point, moving to the landing point based on the control information, and performing landing at the landing point, and recognizing the multi-pattern again if the landing is not completed. A landing area for the landing of the unmanned aerial robot may include the landing point and the multi-pattern. The multi-pattern may include a first multi-pattern and a second multi-pattern. The first multi-pattern may have a greater size than the second multi-pattern.

Abstract: Disclosed is a method for controlling drone take-off using a drone station. The method for controlling drone take-off using a drone station obtains, from the drone station, information on maximum speed and time at which an elevation guide portion provided in the drone station reaches a maximum rising speed while rising to guide a drone in a vertical direction. The drone can be controlled to take off after the time taken to reach the maximum speed has elapsed from the rising of the elevation guide portion. As a result, an initial RPM or battery consumption required in a drone take-off process may be minimized. One or more of a drone (unmanned aerial vehicle (UAV)), a drone station, or a server may cooperate with an artificial intelligence module, a robot, an augmented reality (AR) device, a virtual reality (VR) device, a device related to 5G service, and the like.

Abstract: Disclosed are a precise landing method using a multi-pattern in an unmanned aerial control system and an apparatus therefor. In an aspect of the present invention, a precise landing method using a multi-pattern of an unmanned aerial robot in an unmanned aerial control system includes receiving an image value from an outside and recognizing a multi-pattern in which control information for precise landing control has been coded based on the image value, obtaining control information when an ID value included in the control information indicates a landing point, moving to the landing point based on the control information, and performing landing at the landing point, and recognizing the multi-pattern again if the landing is not completed. A landing area for the landing of the unmanned aerial robot may include the landing point and the multi-pattern. The multi-pattern may include a first multi-pattern and a second multi-pattern. The first multi-pattern may have a greater size than the second multi-pattern.

Abstract: This specification provides a station recognition and landing method. More specifically, in this specification, a unmanned aerial robot can search at least one neighboring station using station IDs and select a station for landing from among the at least one searched station. In addition, the unmanned aerial robot receives control information related to a landing position from the selected station, the control information includes information on movement from a current position of the unmanned aerial robot to the landing position, and the unmanned aerial robot moves to the landing position on the basis of the movement information and lands at the station upon arrival at the landing position.

Abstract: The present disclosure determines whether an unmanned aerial robot is able to land in an empty area of a station as the unmanned aerial robot checks the empty space of the station or the station checks the empty space of the station, and leads the landing of the unmanned aerial robot. A drone according to the present disclosure may be associated with an artificial intelligence module, an unmanned aerial vehicle (UAV), a robot, an augmented reality (AR) device, a virtual reality (VR) device, devices related to 5G services, and the like.

Abstract: A station recognition and a landing method are disclosed. More specifically, an unmanned aerial robot includes a camera sensor configured to capture a first pattern that is marked on a station cover and is used for a station identification and a second pattern that is marked inside a station and is used for a precision landing; a transceiver configured to transmit and receive a radio signal; and a processor functionally connected to the camera sensor and the transceiver, wherein the processor is configured to determine a landing station for landing based on the first pattern captured by the camera sensor, control the transceiver to transmit a radio signal that indicates the landing station to open the station cover, and perform the precision landing at the landing station based on the second pattern of the landing station.

Abstract: The present invention is characterized to store information on a flight restricted area in which a flight of an unmanned aerial vehicle is restricted, differently calculate an access limit distance of the flight restricted area depending on an autonomous flying level of the unmanned aerial vehicle, and provide at least one of the unmanned aerial vehicle and a terminal with the information on the flight restricted area and information on the access limit distance. The present invention can control a drone or a robot through 5G communication and improve artificial intelligence and an autonomous flying performance of the drone or the robot.