The automated pre-flight inspection of an unmanned aerial vehicle (UAV) uses a UAV and a dock. The UAV includes one or more cameras, one or more sub-systems, and a frame. The dock includes one or more processors, one or more memories, and one or more sensors configured for use with an automated pre-flight inspection of the UAV while the UAV is located at the dock. The one or more processors are configured to execute instructions stored in the one or more memories to perform the automated pre-flight inspection using the one or more sensors to produce output representing operational states of the one or more cameras, the one or more sub-systems, and one or more portions of the frame. The output is transmitted for display at a user device associated with the UAV.

A user input device may include a housing, and a yoke stick extending from the housing. The yoke stick may comprise an elongate portion, and a longitudinal motion module receiving the elongate portion and having a longitudinal module housing, a piston longitudinally received within the longitudinal module housing, first and second elastic devices carried within the longitudinal module housing and biasing the piston in a medial position, and a longitudinal sensor carried by the longitudinal module housing and configured to detect z-axis motion of the yoke stick. The user input device also includes a controller carried by the housing and coupled to the longitudinal sensor, a first translation motion module, a second translation motion module, and a rotational motion module, the controller configured to generate a motion input signal based upon four-axis motion of the yoke stick.

A return method and device for an aerial vehicle are provided. The method includes: during a flight process of the aerial vehicle, performing real-time planning on a return path from a current position of the aerial vehicle to a return position; performing real-time transmission of the return path to a terminal device to display the return path on a display interface. The aerial vehicle plans the return path in real-time during flight and sends it in real-time to the terminal device for display. This allows users to timely understand the planned return path of the aerial vehicle. Even in the event of a loss of connection between the aerial vehicle and the terminal device, the terminal device can display the return path based on the previously received information, thereby enhancing the safety of aerial vehicle return.

A device for establishing a communication network and collecting situation information at a site of a collapse disaster is disclosed. The device includes a ground drone 10 deployed at the site of the collapse disaster, the ground drone 10 having a communication device 80 mounted thereon, a flying drone 32 mounted on and carried by the ground drone 10 to fly and photograph the site of the collapse disaster, a camera device 40 mounted on the ground drone 10 to photograph surroundings of the ground drone 10, a storage 50 installed on the ground drone 10, and a plurality of repeater modules 60 connected by the wireless communication network to relay wireless communications between the ground drone 10, the flying drone 32, and a command and control center 100, wherein the storage 50 accommodates the repeater modules 60, and throws the repeater modules 60 in response to an operation signal.

The present application provides an unmanned aerial vehicle (UAV)-assisted federated learning resource allocation method for an UAV-assisted federated learning wireless network scenario, which takes into account the effect of altitude of the UAV on the coverage range in order to achieve an equilibrium between the total energy consumption of the user and federated learning performance. The method simultaneously considers the total energy consumption of the user and the federated learning performance, defines the total cost function of the system. The total cost function consists of weighting of the total energy consumption of the user and the inverse of the number of users participating in federated learning, and forms the optimization problem with a minimization of the total cost function.

A method, a remote control device, and a system are provided. The method may include: determining an initial synthetic polarization direction based at least in part on transmission antenna information of a movable platform; obtaining attitude data indicative of an attitude change of the movable platform; and determining a target synthetic polarization direction based at least in part on the attitude data and the initial synthetic polarization direction, wherein a remote control device is configured to communicate with the moveable platform using the target synthetic polarization direction. By adopting the method, the communication quality between the remote control device and the moveable platform can be improved.

Disclosed is a navigation method and system using color codes. The navigation method according to an embodiment of the present disclosure includes: dividing an aircraft path at a vertiport into a plurality of sub-paths based on a branch point; and selectively combining at least some of the plurality of sub-paths and generating a guiding path for an urban air mobility (UAM) to travel at the vertiport based on a departure point and a destination point scheduled for the UAM.

A method comprising, by a processor and memory circuitry, for an aerial vehicle comprising a payload operative to perform an interaction with a target: for each target of a plurality of targets, determining an interaction area based on a position of the target, wherein, for each position of the aerial vehicle located in the interaction area of the target, the interaction between the payload and the target is enabled according to an operability criterion, generating a series of connections, wherein each connection comprises at least one waypoint located in an interaction area of a target of the plurality of targets and at least one waypoint located in an interaction area of another different target of the plurality of targets, wherein each interaction area comprises a waypoint of at least one connection of the series of connections, and obtaining a flight path for the aerial vehicle using the series of connections.

Systems, devices, and methods for an aircraft autopilot guidance control system for guiding an aircraft having a body, the system comprising: a processor configured to determine if a yaw angle difference and a pitch angle difference meet corresponding angle thresholds; a skid-to-turn module configured to generate a skid-to-turn signal if the corresponding angle thresholds are met; a bank-to-turn module configured to generate a bank-to-turn signal having a lower bandwidth than the generated skid-to-turn signal; a rudder integrator module configured to add a rudder integrator feedback signal to the bank-to-turn signal, where the rudder integrator feedback signal is proportional to a rudder integrator; and a filter module configured to filter the generated bank-to-turn signal, wherein the filter module comprises a low-pass filter configured by a set of gains to pass the bank-to-turn signal if a side force on the body meets a side force threshold.

Techniques are disclosed for inspection management in a movable object environment. An inspection application can receive data from an inspection application and use this data to generate one or more inspection missions. When a user selects an inspection mission in the inspection application, the inspection application can instruct a movable object to perform the selected inspection mission. The movable object can follow one or more dynamically generated paths around a target object and capture a plurality of images. The images can be viewed in a viewing application to perform an inspection of the target object.