A system comprising, a plurality of unmanned aerial vehicles and a single controller for controlling said plurality of unmanned aerial vehicles, wherein the single controller is configured such that it can broadcast a command to all of the plurality of unmanned aerial vehicles so that each of the plurality of unmanned aerial vehicles receive the same command; and wherein each of the unmanned aerial vehicles comprise a memory which stores a plurality of predefined flight paths each of which is assigned to a respective command; and wherein each of the unmanned aerial vehicles comprise a processor which can, (i) receive a command which has been broadcasted by the single controller to said plurality of unmanned aerial vehicles, (ii) retrieve from the memory of that aerial vehicle the flight path which is assigned in the memory to that command, and (iii) operate the aerial vehicle to follow the retrieved flight path. There is further provided a corresponding method of controlling a plurality of unmanned aerial vehicles.

A graphical user interface (GUI) system for facilitating aircraft approaching and landing includes a database for storing airfields information and associated one or more approach patterns. The system also includes a display screen with user input interface configured for selecting a pattern for an aircraft to approach and land on an airfield, displaying the selected pattern in an overhead graphical view of the airfield according to the related information stored in the database. The system further includes a processing unit in signal communication with the database, one or more aircraft position sensors, and the display screen. The processing unit is configured to receive aircraft location and movement information from one or more aircraft sensors, airfield information from the database, and user input from the user input interface to determine display content and format of the display content on the display screen.

An unmanned aerial system and a method are disclosed. An unmanned aerial system may include: a telematics service server; an unmanned aerial apparatus; and a vehicle. In particular, the telematics service server obtains a destination of the unmanned aerial apparatus, a movement path of the vehicle, a current location of the unmanned aerial apparatus, and a current location of the vehicle, and also searches for the vehicle with which the unmanned aerial apparatus is able to move in collaboration. The telematics service server controls a collaborative movement between the unmanned aerial apparatus and the vehicle, and the unmanned aerial apparatus transmits and receives information for the collaborative movement from the telematics service server. In addition, the vehicle carries the unmanned aerial apparatus according to a request from the telematics service server, and moves together with the unmanned aerial apparatus.

An unmanned aerial vehicle (“UAV”), the UAV including an electronic speed controller and a flight controller. The electric speed controller is interfaced with thrust motors of the UAV. The flight controller is configured to: determine a geographic location and a velocity of the UAV. The flight controller configured to: determine a distance between the geographic location of the UAV and a closest segment of a no-fly-zone. The flight controller in response to the distance being less than a threshold distance, control a speed and thrust applied by the thrust motors through the electric speed controller to reduce both the first component and the second component of the velocity of the UAV based on the distance. The flight controller configured to: override a user input received via a user interface so that the UAV is moved relative to the closest segment of a no-fly-zone according to instructions from the flight controller.

A method, an apparatus for continuous path planning, a computer device, and a storage medium. The method designs the optimization function based on the rapidly exploring random tree to plan path, and the optimal path is screened out from the random tree according to target function including the reconstruction completeness optimization function, the path effectiveness optimization function, and the path smoothness optimization function when the reconstruction degree of the preset sampling points is determined to meet the preset requirement.

A system for recharging an autonomous aerial vehicle includes a base, a supply boom, a receiving basket, a centering device, and a locking device. The supply boom includes a tip and first recharger. The receiving basket has an inner wall delimiting a cavity that may receive the tip of the supply boom. The receiving basket including a second recharger that is complementary to the first recharger. One of the supply boom and the receiving basket is mounted on the autonomous aerial vehicle while the other is mounted on the base. The centering device centers the tip of the supply boom in the cavity of the receiving basket. The locking device is controlled by a controller and locks the supply boom in the receiving basket.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for unmanned aerial vehicle authorization and geofence envelope determination. One of the methods includes determining, by an electronic system in an Unmanned Aerial Vehicle (UAV), an estimated fuel remaining in the UAV. An estimated fuel consumption of the UAV is determined. Estimated information associated with wind affecting the UAV is determined using information obtained from sensors included in the UAV. Estimated flights times remaining for a current path, and one or more alternative flight paths, are determined using the determined estimated fuel remaining, determined estimated fuel consumption, determined information associated wind, and information describing each flight path. In response to the electronic system determining that the estimated fuel remaining, after completion of the current flight path, would be below a first threshold, an alternative flight path is selected.

A graphical user interface (GUI) system for facilitating aircraft approaching and landing includes a database for storing airfields information and associated one or more approach patterns. The system also includes a display screen with user input interface configured for selecting a pattern for an aircraft to approach and land on an airfield, displaying the selected pattern in an overhead graphical view of the airfield according to the related information stored in the database. The system further includes a processing unit in signal communication with the database, one or more aircraft position sensors, and the display screen. The processing unit is configured to receive aircraft location and movement information from one or more aircraft sensors, airfield information from the database, and user input from the user input interface to determine display content and format of the display content on the display screen.

The present disclosure provides a UAV operation route planning method, a UAV pesticide spreading planning method and device for providing improvements on the operation accuracy of UAV. The UAV operation route method comprises steps of: obtaining a plurality of sub-areas of an operation area of a UAV; exhausting operation orders of the sub-areas and waypoint sequences in each of the sub-areas, respectively; planning routes according to the operation orders of the sub-areas and the waypoint sequences in each of the sub-areas to obtain all routes in the operation area; and determining a route in all the routes having a total voyage meeting a preset constraint condition as an optimal operation route.

Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for lighting adaptive navigation. In some implementations, map data associated with a property is received. Sensor data is obtained. Based on the map data and the sensor data, a lighting scenario is determined. Based on the lighting scenario, a modification to at least one of the lighting scenario, to a planned navigation path for the robotic device, to settings for a sensor of the robotic device, to a position for a sensor of the robotic device, or to a position of the robotic device is determined. An action is performed by based on the one or more modifications.