Embodiments relate to methods, systems, and devices for performing an inspection on a telecommunication structure and/or one or more objects that are attached on the telecommunication structure. The system includes an unmanned aerial vehicle that includes one or more of the following: an image capturing subsystem, an object identifying subsystem, a distance measuring subsystem, a navigation subsystem, an electromagnetic interference subsystem, and an onboard processor that is in communication with the image capturing subsystem, the object identifying subsystem, the distance measuring subsystem, the navigation subsystem, the electromagnetic interference subsystem. The system also includes a control processor that is in communication with the onboard processor. Further, the control processor may also be the onboard processor on the unmanned aerial vehicle. The method includes configuring an unmanned aerial vehicle, receiving information pertaining to the telecommunication structure, generating a first flight path, communicating a command to control movements of the unmanned aerial vehicle along the first flight path, receiving information including a first electromagnetic interference signal, processing information including comparing the first electromagnetic interference signals with a threshold signal level, and generating a second flight path in response to a determination that the first electromagnetic interference signal is greater than or equal to the threshold signal level.

A computer-implemented method comprises receiving, by an image processing system, a depth image captured by a stereo camera on an unmanned aerial vehicle (UAV). One or more pixels of the depth image are associated with corresponding depth values indicative of distances of one or more objects to the stereo camera. The image processing system determines that one or more pixels of the depth image are associated with invalid depth values. The image processing system infers, based on a distribution of the one or more pixels of the depth image that are associated with invalid depth values, a presence of a potential obstacle in an environment of the UAV. The UAV is controlled based on the inferred presence of the potential obstacle.

A landing method, etc., for a flight vehicle having directional characteristics, which can improve the landing performance of the flight vehicle having directional characteristics by turning the airframe in a nose direction with a good balance between lift and drag based on wind speed data and wind direction data related to the landing site. In the method for landing a flight vehicle of the present invention, the flight vehicle comprises to generate lift in response to wind from the nose direction of the airframe and based on wind speed data and wind direction data related to the landing site, the nose direction of the airframe is controlled and the descent of the airframe is initiated.

A landing method, etc., for a flight vehicle having directional characteristics, which can improve the landing performance of the flight vehicle having directional characteristics by turning the airframe in a nose direction with a good balance between lift and drag based on wind speed data and wind direction data related to the landing site. In the method for landing a flight vehicle of the present invention, the flight vehicle comprises to generate lift in response to wind from the nose direction of the airframe and based on wind speed data and wind direction data related to the landing site, the nose direction of the airframe is controlled and the descent of the airframe is initiated.

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.

A control system acquires predicted tsunami information, and generates a flight plan for unmanned aerial vehicles. The flight plan includes flight paths along safety boundaries between an expected damage area and a safe area. The expected damage is an area expected to be damaged by the tsunami indicated by the predicted tsunami information. The safe area is an area to be safe from damage caused by the tsunami. The control system transmits the flight plan to the unmanned aerial vehicles.

A local server includes a controller configured to select a processing function for processing offload, and receive, from a traffic filter, target data that originates from a local network; and a processing platform comprising one or more processors and configured to apply the processing function to the target data to obtain processed data; and wherein the controller is further configured to send the processed data to a remote server for remote processing.

Provided is a mobile object including: a mobile object information transmitting unit configured to transmit, to another mobile object by optical wireless communication by a first optical wireless communication unit, first mobile object information including first inertial measurement information and first body control information; a mobile object information receiving unit configured to receive, from the another mobile object by optical wireless communication by the first optical wireless communication unit, second mobile object information including second inertial measurement information and second body control information; and an optical axis direction control unit configured to control a direction of an optical axis of the first optical wireless communication unit on a basis of the first mobile object information and the second mobile object information.

An automatic berthing system and method for a vessel are provided. The automatic berthing system comprises a controller, controlling the vessel; an input part, receiving an input to perform the automatic berthing mode; at least one peripheral sensor, detecting position information and speed information of another vessel other than the vessel to determine whether a wake caused by the another vessel has influence on the vessel. The controller performs an automatic berthing control when the input to perform the automatic berthing mode is received until the vessel reaches a berthing position, and the controller stops the automatic berthing control when the another vessel is located within a predetermined distance from the vessel based on the position information.

An automatic berthing system and method for a vessel are provided. The automatic berthing system comprises a controller, controlling the vessel; an input part, receiving an input to perform the automatic berthing mode; at least one peripheral sensor, detecting position information and speed information of another vessel other than the vessel to determine whether a wake caused by the another vessel has influence on the vessel. The controller performs an automatic berthing control when the input to perform the automatic berthing mode is received until the vessel reaches a berthing position, and the controller stops the automatic berthing control when the another vessel is located within a predetermined distance from the vessel based on the position information.