The method can include: optionally determining an aircraft state; determining a transition event; verifying an aircraft configuration; determining an aircraft alert state; and performing an action. However, the method can additionally or alternatively include any other suitable elements. The method functions to facilitate configuration checking and/or validation of configuration changes. Additionally or alternatively, the method can function to facilitate human-in-the-loop operation of a semi-autonomous aircraft (e.g., with an autonomous agent fulfilling the roles of one pilot of a multi-pilot aircraft). Additionally or alternatively, the method can function to autonomously respond to inconsistencies or failures associated with aircraft configuration changes.

A system is provided which can achieve reliability of a notification about a moving manner of a work machine for a worker regardless of the distance between the work machine and the worker. A sign image M is projected onto a peripheral region of the worker (for example, a ground surface which is present in the vicinity of the worker to the extent that the worker is capable of visually recognizing the sign image M) by an unmanned aircraft 60. The sign image M is an image which represents a moving manner of a work machine 40. Thus, regardless of the distance between the work machine 40 and the worker, reliability of a notification about the moving manner of the work machine 40 for the worker is achieved compared to a case where the sign image M is projected onto an irrelevant place to the position of the worker.

A remote control system includes a mobile terminal configured to control a construction machine in a first operating mode using one or more control elements of the mobile terminal and to control at least one imaging device in a second operating mode using the one or more control elements of the mobile terminal. The at least one imaging device is controllable by the one or more control elements of the mobile terminal to record an environment of the construction machine and/or a working tool of the construction machine. A position and/or alignment of the at least one imaging device is controllable via the one or more control elements of the mobile terminal.

Disclosed are methods, systems, and computer-readable medium for facilitating remote user airspace communication. For instance, the method may include: connecting with a user device associated with and remote from a first vehicle in a shared air traffic control sector; receiving voice communication data from at least one of the user device, a second vehicle in the shared air traffic control sector, and an air traffic control station in the shared air traffic control sector; generating analog data or digital data based on the received voice communication data; determining a recipient for the generated analog data or generated digital data in the shared air traffic control sector; transmitting the generated analog data or generated digital data to the recipient; and terminating the connection with the user device as the first vehicle leaves the shared air traffic control sector.

An aspect of the present disclosure relates to automated imaging of photovoltaic devices using an aerial vehicle (20). In one aspect, there is a method (440) for automated imaging of a PV array (310) using an aerial vehicle (20), the PV array (310) corresponding to target points (350) for the aerial vehicle (20). The method (440) comprises: positioning the aerial vehicle (20) at one of the target points (350) corresponding to the PV array (310); and controlling the aerial vehicle (20) for automated manoeuvre between the target points (350) to capture visual datasets of the PV array (310). The automated manoeuvre comprises: aligning a field-of-view (225) of a camera (222) of the aerial vehicle (20) to a PV array subsection of the PV array (310); determining a scanning direction (360) for moving the aerial vehicle (20) between the target points (350); and capturing, using the camera (222), the visual datasets of the PV array (310) starting from the PV array subsection as the aerial vehicle (20) moves along the scanning direction (360) between the target points (350).

The present disclosure provides a flight anti-collision method and apparatus based on electromagnetic field detection of an overhead transmission line. An example method includes: determining whether an overhead transmission line around is an Alternating Current (AC) transmission line or a (Direct Current) DC transmission line; if the overhead transmission line is an AC transmission line, determining a position relationship between an aircraft and the overhead transmission line on the basis of a phase distribution model and an electric field phase and a magnetic field phase measured by a phase detector on the aircraft; if the overhead transmission line around is a DC transmission line, determining the position relationship between the aircraft and the overhead transmission line on the basis of a magnetic field intensity distribution model and the magnetic field intensities collected by magnetic field intensity sensors on the aircraft; and thus controlling the aircraft.

An example includes a method for training an agent to control an aircraft. The method includes: selecting, by the agent, first actions for the aircraft to perform within a first environment respectively during first time intervals based on first states of the first environment during the first time intervals, updating the agent based on first rewards that correspond respectively to the first states, selecting, by the agent, second actions for the aircraft to perform within a second environment respectively during second time intervals based on second states of the second environment during the second time intervals, and updating the agent based on second rewards that correspond respectively to the second states. At least one first rule of the first environment is different from at least one rule of the second environment.

A method for controlling an unmanned aerial vehicle using a control apparatus, comprises: executing a navigation process by: obtaining a live video moving image from a navigation camera device of the UAV; and generating a navigation display interface for display on a display device of the control apparatus, the navigation display interface comprising a plurality of navigation augmented reality display elements related to a determined waypoint superimposed over the live video moving image; and when the UAV reaches the determined waypoint, executing a precision landing process by: generating a precision landing display interface for display on the display device, the precision landing display interface comprising a plurality of precision landing AR display elements related to a landing target associated with the determined waypoint superimposed over the live video moving image obtained from a precision landing camera device of the UAV.

The present disclosure relates to the field of unmanned aerial vehicles (UAV), and discloses a gimbal control method, a controller, an unmanned aerial vehicle and an unmanned aerial vehicle inspection system. The gimbal control method, applied to a UAV, acquires inspection information about the UAV, including an observation flight leg, an observation interval corresponding to the observation flight leg, a total flight range corresponding to the observation interval and the current flight range. Then, the observation progress of the UAV is determined according to the current flight range and the total flight range. A first position, position of center point of the field of view of the nacelle of UAV, is determined according to the observation progress and the observation interval. Finally, the angle of the gimbal of the UAV is controlled according to the first position and the current position of the UAV.

The method can include: determining sensor information with an aircraft sensor suite: based on the sensor information, determining a flight command using a set of models: validating the flight command S130; and facilitating execution of a validated flight command. The method can optionally include generating a trained model. However, the method S100 can additionally or alternatively include any other suitable elements. The method can function to facilitate aircraft control based on autonomously generated flight commands. The method can additionally or alternatively function to achieve human-in-the-loop autonomous aircraft control, and/or can function to generate a trained neural network based on validation of autonomously generated aircraft flight commands.