Various embodiments of a docking station configured for semi-autonomous or fully autonomous management of drones. In various embodiments, the station can identify the exact location and angle of a drone on a landing pad, and modify the location and angle in order for a robot to retrieve a used battery from the drone and also insert a fully charged replacement battery. The station may also determine the charge status of a drone's battery, the exact type of battery used by a particular drone, and select for replacement into the drone the specific battery needed. There are various embodiments of a system with such a docking station, command & control software, a database, and a network control center. Various embodiments are of methods to identify the need to replace a battery, identify the type of battery required, and effect replacement in an automated manner.

Various embodiments of a docking station configured for semi-autonomous or fully autonomous management of drones. In various embodiments, the station can identify the exact location and angle of a drone on a landing pad, and modify the location and angle in order for a robot to retrieve a used battery from the drone and also insert a fully charged replacement battery. The station may also determine the charge status of a drone's battery, the exact type of battery used by a particular drone, and select for replacement into the drone the specific battery needed. There are various embodiments of a system with such a docking station, command & control software, a database, and a network control center. Various embodiments are of methods to identify the need to replace a battery, identify the type of battery required, and effect replacement in an automated manner.

An example UAV landing structure includes a landing platform for a UAV, a cavity within the landing platform, and a track that runs along the landing platform and at least a part of the cavity. The UAV may include a winch system that includes a tether that may be coupled to a payload. Furthermore, the cavity may be aligned over a predetermined target location. The cavity may be sized to allow the winch system to pass a tethered payload through the cavity. The track may guide the UAV to a docked position over the cavity as the UAV moves along the landing platform. When the UAV is in the docked position, a payload may be loaded to or unloaded from the UAV through the cavity.

An unmanned aerial vehicle executes: a movement control process that moves the unmanned aerial vehicle to a delivery area including a delivery address to which a package is to be delivered, the delivery area including delivery destination candidates, and each of the delivery destination candidates including an identification information indicator located at a position where the identification information indicator is readable from outside; an identification information acquiring process that acquires identification information associated with each delivery destination candidate by reading a corresponding identification information indicator; a delivery destination identifying process that identifies, as a delivery destination, a delivery destination candidate in which the acquired identification information matches the delivery address; a position identifying process that identifies a receiving position of the package based on a position of the identified delivery destination; and a placing process that places the package at the identified receiving position.

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.

A system including a drone, a wire and a docking station allowing the autonomous landing of the drone in degraded conditions. The docking station including a landing platform. The landing procedure includes stopping the automatic position control of the drone, producing a motor thrust higher than the weight of the drone, the automatic control of the attitude of the drone, and pulling upon the wire in order to bring the drone back to the platform. This system makes emergency landings possible, or landings under violent winds, or when the docking station is in movement on a vehicle, reducing material breakage.

A system including a drone, a wire and a docking station allowing the autonomous landing of the drone in degraded conditions. The docking station including a landing platform. The landing procedure includes stopping the automatic position control of the drone, producing a motor thrust higher than the weight of the drone, the automatic control of the attitude of the drone, and pulling upon the wire in order to bring the drone back to the platform. This system makes emergency landings possible, or landings under violent winds, or when the docking station is in movement on a vehicle, reducing material breakage.

A battery configured to power an unmanned aerial vehicle. The battery includes an enclosure configured to house a power module of the battery. The battery also includes one or more conducting contacts located on the enclosure configured to contact one or more pogo pins of a battery charger located on a docking station of the unmanned aerial vehicle.

This application discloses a beacon for guiding landing of an unmanned aerial vehicle. The beacon includes at least three levels of patterns: one first-level pattern and at least one second-level pattern, where the at least one second-level pattern is superposed above the first-level pattern, and an area of the second-level pattern is less than that of the first-level pattern.

This application discloses a beacon for guiding landing of an unmanned aerial vehicle. The beacon includes at least three levels of patterns: one first-level pattern and at least one second-level pattern, where the at least one second-level pattern is superposed above the first-level pattern, and an area of the second-level pattern is less than that of the first-level pattern.