A method includes causing an aerial vehicle to deploy a tethered component to a particular distance beneath the aerial vehicle by releasing a tether connecting the tethered component to the aerial vehicle. The method also includes obtaining, from a camera connected to the aerial vehicle, image data that represents the tethered component while the tethered component is deployed to the particular distance beneath the aerial vehicle. The method additionally includes determining, based on the image data, a position of the tethered component within the image data. The method further includes determining, based on the position of the tethered component within the image data, a wind vector that represents a wind condition present in an environment of the aerial vehicle. The method yet further includes causing the aerial vehicle to perform an operation based on the wind vector.

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.

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.

A method for searching a path by using a 3D reconstructed map includes: receiving 3D point-cloud map information and 3D material map information; clustering the 3D point-cloud map information with a clustering algorithm to obtain clustering information, and identifying material attributes of objects in the 3D point-cloud map information with a material neural network model to obtain material attribute information; fusing the those map information based on their coordinate information, thereby outputting fused map information; identifying obstacle areas and non-obstacle areas in the fused map information based on an obstacle neural network model, the clustering information, and the material attribute information; and generating 3D path information according to the non-obstacle areas. Since the 3D path information is generated based on those map information, the obstacle areas and flight spaces are effectively determined to generate an accurate flight path.

Disclosed is a configuration to control automatic return of an aerial vehicle. The configuration stores a return location in a storage device of the aerial vehicle. The return location may correspond to a location where the aerial vehicle is to return. One or more sensors of the aerial vehicle are monitored during flight for detection of a predefined condition. When a predetermined condition is met a return path program may be loaded for execution to provide a return flight path for the aerial vehicle to automatically navigate to the return location.

An unmanned system maneuver controller (USMC) includes an inertial navigation system (INS) for state estimation of the USMC in three-dimensional (3D) space, a communications device configured to communicate with an unmanned system, and a processor configured to receive, via the communications device, flight, maneuver, or dive data from the unmanned system, and generate flight, maneuver, or dive control instructions based at least on the flight, maneuver, or dive data and data received from the INS. The flight, maneuver, or dive control instructions are configured to pilot the unmanned system based on movement of the USMC in 3D space. A remote may selectively control an operation of the USMC. The USMC may be mounted to a weapon or observation device, such that movement of the weapon or observation device in 3D space controls a movement of the unmanned system. Additional systems and associated methods are also provided.

The present disclosure generally relates to controlling output components.

The present disclosure generally relates to controlling output components.

During a vertical landing state, it is decided whether to switch from the vertical landing state to a self adjusting state. The VTOL vehicle includes the flight controller, the rotor, and a fuselage where the rotor is coupled to the fuselage via a vertical connector. If it is so decided, there is a switch from the vertical landing state to the self adjusting state. During the self adjusting state, a control signal for a rotor is generated where the control signal causes: (1) the rotor to rotate during the self adjusting state and (2) the VTOL vehicle to remain in a fixed position during the self adjusting state, in response to the control signal, and independent of docking infrastructure. During a rotors off state, a rotor off control signal is generated for the rotor that causes the rotor to turn off.

During a vertical landing state, it is decided whether to switch from the vertical landing state to a self adjusting state. The VTOL vehicle includes the flight controller, the rotor, and a fuselage where the rotor is coupled to the fuselage via a vertical connector. If it is so decided, there is a switch from the vertical landing state to the self adjusting state. During the self adjusting state, a control signal for a rotor is generated where the control signal causes: (1) the rotor to rotate during the self adjusting state and (2) the VTOL vehicle to remain in a fixed position during the self adjusting state, in response to the control signal, and independent of docking infrastructure. During a rotors off state, a rotor off control signal is generated for the rotor that causes the rotor to turn off.