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.

A delivery robot may provide an approach notification to enable people to understand and interpret actions by an unmanned aerial vehicle (UAV), such as an intention to land or deposit a package at a particular location. The delivery robot may include a display, lights, a speaker, and one or more sensors to enable the robot to provide information, barcodes, and text to the UAV and/or bystanders. The robot can provide final landing authority, and can “wave-off” the UAV, if an obstacle or person exists in the landing zone. The delivery robot can receive packages and (1) store them for retrieval (2) deliver them to the delivery location and/or (3) deliver them to an automated locker system. The delivery robot can temporarily close lanes or streets to enable a package to be delivered by UAV. The system may include a shelter to secure, maintain, and charge the delivery robot.

A delivery robot may provide an approach notification to enable people to understand and interpret actions by an unmanned aerial vehicle (UAV), such as an intention to land or deposit a package at a particular location. The delivery robot may include a display, lights, a speaker, and one or more sensors to enable the robot to provide information, barcodes, and text to the UAV and/or bystanders. The robot can provide final landing authority, and can “wave-off” the UAV, if an obstacle or person exists in the landing zone. The delivery robot can receive packages and (1) store them for retrieval (2) deliver them to the delivery location and/or (3) deliver them to an automated locker system. The delivery robot can temporarily close lanes or streets to enable a package to be delivered by UAV. The system may include a shelter to secure, maintain, and charge the delivery robot.

The invention relates to a method for automatically guiding a drone with a computer, with a view to landing the drone on a docking and recharging platform, the drone comprising a first luminous means that emits a first light signal and a second luminous means that emits a second light signal different from the first light signal, the first luminous means and the second luminous means being fastened at two separate points to the drone, the station receiving images captured by a camera, said method comprising: —analyzing the images captured by the camera so as to locate the first and second luminous means, —determining the position and orientation of the drone depending on the determined position of the first and second luminous means, —generating, with the computer, piloting instructions intended for the drone, said instructions being configured to guide the drone towards the docking and recharging platform, —transmitting said instructions to the drone, —the drone receiving and implementing said instructions.

Methods, devices, and systems for airfield luminaire vibration monitoring are described herein. In some examples, one or more embodiments include a computing device comprising a memory and a processor to execute instructions stored in the memory to receive a vibration signal from a sensor on an airfield luminaire, compare the vibration signal from the sensor to a vibration profile for the airfield luminaire, and determine a status of a bolt of the airfield luminaire based on the comparison.

A landing station for an unmanned aerial vehicle includes a landing surface and a centering wheel. The centering wheel is coupled to the landing surface and has a spoke extending therefrom. The spoke is positioned to rotate relative to the landing surface in response to rotation of the centering wheel relative to the landing surface. The spoke is configured to rotate into engagement with a landing leg of the unmanned aerial vehicle to impart centrifugal force onto the landing leg sufficient to rotate the unmanned aerial vehicle toward a predetermined position on the landing surface.

A landing station for an unmanned aerial vehicle includes a landing surface and a centering wheel. The centering wheel is coupled to the landing surface and has a spoke extending therefrom. The spoke is positioned to rotate relative to the landing surface in response to rotation of the centering wheel relative to the landing surface. The spoke is configured to rotate into engagement with a landing leg of the unmanned aerial vehicle to impart centrifugal force onto the landing leg sufficient to rotate the unmanned aerial vehicle toward a predetermined position on the landing surface.

[Problem] To obtain high measurement accuracy in aerial photogrammetry while reducing the cost of installing a measurement target. [Solution] According to the present invention, a launching pad for an unmanned aircraft on which a UAV 200 is installed before take off is provided with: a target indication that constitutes a target locating point used for aerial photogrammetry; and position determining units that determine the position of the UAV 200 with respect to the launching pad in a state in which the position of the UAV 200 with respect to the target indication before take off is specified.

A drone docking system (10) for multicopter drone (50) comprises a docking station (20) having a receiver (26). The CT receiver (26) is adapted to connect to a docking formation (52) mounted atop the drone (50) such that when the drone (50) is docked with the docking station (20), the drone (50) is suspended from and below the docking station (20). A fail-safe mechanical connection (56, 32) is provided to connect the docking formation (52) to the receiver (26). One or more electromagnets (34, 58) may be used to NI connect the docking formation (52) to the receiver (26), which electromagnets (34, 58) are suitably controllable to provide a smooth transition between docked and free-flight states of the drone (50) and optionally to guide the docking formation (52) into alignment with the receiver (26). The drone (50) suitably has a payload rendering it useful for surveillance and crime prevention/detection purposes.

Methods, devices, and systems for airfield luminaire vibration monitoring are described herein. In some examples, one or more embodiments include a computing device comprising a memory and a processor to execute instructions stored in the memory to receive a vibration signal from a sensor on an airfield luminaire, compare the vibration signal from the sensor to a vibration profile for the airfield luminaire, and determine a status of a bolt of the airfield luminaire based on the comparison.