Airborne unmanned autonomous vehicles (UAVs) may be used to hover over swimming pools or spas and dispense chemicals (or other materials or devices) directly thereinto. UAVs alternatively or additionally may include sensors designed to identify certain characteristics of pools or spas or of the water therein. The UAVs further may hover over, or land on, pool pads or other areas adjacent or near a pool or spa to deliver or receive parts or other objects.

A landing tracking control method comprises the following contents: a tracking model training stage and an unmanned aerial vehicle real-time tracking stage. The landing tracking control method extracts a network Snet by using a lightweight feature and makes modification, so that an extraction speed of the feature is increased to better meet a real-time requirement. Weight allocation on the importance of channel information is carried out to differentiate effective features more purposefully and utilize the features, so that the tracking precision is improved. In order to improve a training effect of the network, a loss function of an RPN network is optimized, a regression precision of a target frame is measured by using CIOU, and meanwhile, calculation of classified loss function is adjusted according to CIOU, and a relation between a regression network and classification network is enhanced.

A method and system for developing a flight plan for taking images from an area of interest is disclosed. A series of trajectories is determined. Each trajectory is determined based on a logarithmic spiral curve derived from a range of predetermined basis angles and selecting a constant tangent angle between a radial line from the location of an image sensor to a target location, and a tangent line to the logarithmic spiral curve at the location of the image sensor. A set of trajectories from the series of trajectories is selected. The selected trajectories are scaled to cover the area of interest. The selected trajectories are transformed to coordinates corresponding to the area of interest. The set of scaled and transformed trajectories are stored as the flight plan for taking images of the area of interest.

Disclosed are a method for controlling an unmanned aerial vehicle, a method for controlling outbound and return trips of an unmanned aerial vehicle, an unmanned aerial vehicle, a medium, and a control system. The method for controlling an unmanned aerial vehicle includes: obtaining, in a process of flying along a target course sent by a first ground station, first positioning auxiliary information sent by the first ground station; adjusting a flight attitude according to the first positioning auxiliary information, to fly along the target course; in a case of determining that a ground station switching condition of the second ground station is satisfied, obtaining the second positioning auxiliary information sent by the second ground station; and adjusting the flight attitude according to the second positioning auxiliary information, to fly along the target course to reach the second location point.

Disclosed is an unmanned Aerial Vehicle, UAV, comprising a plurality of rotors, a camera and an explosive payload, wherein the UAV comprises a generally elongate body, and the camera and the payload are arranged substantially in-line within the body.

Systems and methods for determining drone traffic patterns are provided. For example, a method for determining a drone traffic pattern includes analyzing drone activity of drones in an area. The analysis is based on a speed, heading, altitude, or a combination thereof, of the drones. The method also includes determining one or more drone traffic patterns based on the analysis. The method also includes encoding the determined one or more drone traffic patterns in a database to provide one or more instructions for operation of a drone in the area.

A method of charging a battery of a subject electric air includes determining whether a second electric air vehicle is using supply equipment cooperating with an access point, based on occupation information received from the access point; when it is determined that the second electric air vehicle is not using the supply equipment, charging a high-voltage battery equipped in the subject electric air vehicle with power supplied from the supply equipment after the electric air vehicle moves to the access point and lands at a designated landing point; when charging of the high-voltage battery is completed, receiving a movement limit speed of each of a plurality of movement intervals between other access points from the other access points disposed in a movement path of the subject electric air vehicle; and moving the subject electric air vehicle in the movement intervals based on the respective movement limit speeds.

An agricultural method includes providing a positive air pressure chamber to prevent outside contaminants from entering the chamber; growing crops in a plurality of cells in the chamber, each cell having multi-grow benches or levels, each cell further having connectors to vertical hoists for vertical movements in the chamber; maintaining pre-set temperature, humidity, carbon dioxide, watering and lighting levels to achieve predetermined plant growth; using motorized transport rails to deliver benches for operations including seeding, harvesting, grow media recovery, and bench wash; dispensing seeds in the cell with a mechanical seeder coupled to the transport rails; growing the crops with computer controlled nutrients, light and air level; and harvesting the crops and delivering the harvested crop at a selected outlet of the chamber.

Disclosed is a method of path optimization for an unmanned aerial vehicle (UAV). In the method, users and the positions of the users are obtained; the users are divided into K wireless multicast user groups; K initial hovering positions corresponding to the K wireless multicast user groups are determined; and a first shortest flying path connecting the K initial hovering positions is determined; and the initial hovering positions of the UAV are optimized to obtain K final hovering positions and a final flying path. The present disclosure also discloses a device of path optimization for a UAV and a computer readable storage medium.

The invention relates to an electronic device for the centralized computation and diffusion of the state(s) of an aircraft, configured for at least calculate the value of one or more aircraft state(s), generate a list of aircraft state(s) the value of which is accessible via the electronic device, the list comprising, for each state, information representative of the said state, diffuse the list to each consumer avionics device, of at least one value of at least one state, receive, from at least one consumer avionics device, at least one request for transmission of one or more values of at least one first state selected from the list, the request comprising the said representative information related to the said at least one first selected state, and transmit, to at least one consumer avionics device, only the value or values of the at least one selected state.