A flight management system for a plurality of aerial vehicles includes a management apparatus and an operation terminal. The management apparatus includes processing circuitry to manage operation authorizations to operate the plurality of aerial vehicles. The operation terminal includes an operation interface and processing circuitry. The operation interface is operable by an operator. The processing circuit is connected to the operation interface. Based on an authorization grant request signal obtained based on a flight state of each aerial vehicle of the plurality of aerial vehicles, the processing circuit of the management apparatus transmits an authorization grant command to grant the operation terminal an operation authorization, among the operation authorizations, that is to operate a particular aerial vehicle among the plurality of aerial vehicles. The processing circuit of the operation terminal remotely controls the particular aerial vehicle while being granted the operation authorization to operate the particular aerial vehicle.

A precision landing system is described for an unmanned aerial vehicle (UAV). The system may include one or more anchors configured for placement in proximity to a landing zone, a tag configured for securement to the UAV where the tag wirelessly communicates with at least three or more of the anchors. A controller may be configured to fly the UAV towards a centerline axis defined through a first airspace zone at a first altitude above the landing zone while descending towards the first altitude and then fly the UAV towards the centerline axis defined through a second airspace zone at a second altitude which is below the first altitude while descending towards the second altitude, and finally to fly the UAV towards the centerline axis defined through a third airspace zone at a third altitude which is below the second altitude while descending towards the landing zone.

A server includes at least one processor and at least one memory. The at least one memory includes computer program code. The at least one memory and the computer program code are configured, with the at least one processor, to cause the server to at least obtain task description information of a target task and status information of one or more dock apparatuses communicatively connected to the server, determine a target dock apparatus from the one or more dock apparatuses according to the task description information and the status information, and send a dispatching instruction to the target dock apparatus to instruct the target dock apparatus to select, according to the dispatching instruction, a target UAV from one or more UAVs to perform the target task. The one or more UAVs are carried by and communicatively connected to the target dock apparatus.

Embodiments of the present disclosure disclose a method and apparatus for controlling an aircraft for following and photographing, an electronic device, and a storage medium. The method includes: receiving a following instruction of a user, and controlling an aircraft to enter a following mode according to the following instruction; obtaining a currently captured picture of the aircraft, and displaying the currently captured picture to the user, so that the user selects a following target from the currently captured picture; controlling the aircraft to lock on the following target for following and photographing, and displaying a following orientation control to the user; and controlling, according to an operation of the user on the following orientation control, the aircraft to switch a following orientation.

Systems, methods, and computer program products for controlling a drone using a tether. A drone is coupled to a distal end of the tether, and a force sensor measures one or more force parameters exerted on the drone by the tether. The force parameters are in turn used to generate control parameters, and the control parameters provided to a flight controller. The flight controller generates one or more propulsion parameters based on the control parameters, and provides the propulsion parameters to respective propulsion units of the drone. The drone can thereby be controlled by manipulating a proximate end of the tether, which changes the force parameters measured by the force sensor.

A computer-implemented system and associated method of operating a Small Uncrewed Aircraft System (SUAS) including at least one Small Uncrewed Aircraft or drone. The method comprises capturing data during operation of the SUAS from a number of sensors of different types, performing analysis on the captured data using one or more Artificial Intelligence/Machine Learning (AI/ML) models that have been trained on data sets including historical SUAS data and SUAS system fault data, to predict or identify a potential SUAS failure mode, and when a potential failure mode is predicted or identified, providing a course of action for further operation of the SUAS based on a severity and predicted timing of the SUAS failure mode.

An intelligent device for autonomous navigation of a drone comprising a control unit arranged to communicate with a remote-control station by a wireless connection, acquire a mission route ? that the drone is arranged to follow to reach a desired destination, the mission route ? being defined by means of coordinates x.sub.m(t), y.sub.m(t), z.sub.m(t) with respect to a reference system S(x,y,z), periodically acquire values x.sub.d, y.sub.d, z.sub.d corresponding to the components of the spatial position, values v.sub.x, v.sub.y, v.sub.z corresponding to the components of the speed and values a.sub.x, a.sub.y, a.sub.z corresponding to the components of the acceleration. Furthermore, in the event that a predetermined kinematic condition occurs, the control unit is arranged to check the status of the wireless connection with the remote-control station and, in the event that the wireless connection is active, send an alarm signal to the remote-control station and wait a response time t.sub.r.

The disclosure relates generally to methods and systems for optimized assignment of traversal tasks under imperfect sensing of autonomous vehicles. Most of the techniques assumes perfect equipment conditions. With the imperfect sensing, most of the optimized assignment and scheduling algorithm may not be effective during actual execution of the tasks. The present disclosure solves the technical problems in the art by providing an analytical model which estimates the basic performance metrics such as an expected travel duration and safety estimation such as collision probability on its path, under imperfect sensing, for optimal assignment of the tasks. An analytical model is integrated with a performance estimator as implemented by the systems of the present disclosure, which tracks, predicts, and alerts on any major deviations from its intended performance of safety parameters.

An unmanned aerial vehicle (UAV) control method includes: obtaining a distance between the UAV and a home point; obtain, based on the distance, a first image captured by photographing a home point with a first photographing device; sending the first image to a terminal device for display; and upon receiving a first control instruction sent by the terminal device, adjusting an attitude of the UAV based on the first control instruction. The present disclosure can improve the safety of the UAV during returning and landing. A UAV, a system and a storage medium are also provided.

A method of operating a user terminal operating by at least one processor, wherein a bus information providing app executed according to a user input displays an information registration menu screen.

When an information registration signal is input, it is confirmed whether the information registration menu screen includes a bus stop surrounding image and additional information about the bus stop surrounding image, and bus stop surrounding information including the input bus stop surrounding image, the additional information, and location information of the user terminal is transmitted to a bus information system.