A method for optimizing image capture of a scene by a swarm of drones including a root drone and first and second level-1 drones involves the root drone following a predetermined trajectory over the scene, capturing one or more root keyframe images, at a corresponding one or more root drone orientations and root drone-to-scene distances. For each root keyframe image: the root drone generates a ground mask image for that root keyframe image, and applies that ground mask image to the root keyframe image to generate a target image. The root drone then analyzes the target image to generate first and second scanning tasks for the first and second level-1 drones to capture a plurality of images of the scene at a level-1 drone-to-scene distance smaller than the root drone-to-scene distance; and the first and second level-1 drones carry out the first and second scanning tasks respectively.

An assembly is configured for connection to an unmanned aerial vehicle (UAV) and comprises a plurality of emulator devices each configured for attachment to the UAV and a plurality of first connection tethers each configured to operably couple a respective one of the plurality of emulator devices to the UAV at a respective spacing from the UAV. The emulator devices each comprise an emulation component configured to provide, to a target detection system, a characteristic associated with a respective type of airborne object. The plurality of respective first connection tethers each comprises material that does not substantially reflect RF energy. During flight of the UAV, when the assembly is connected, each respective emulator device maintains the respective spacing from the UAV and emulates the characteristic to the target detection system, such that the assembly emulates, to the target detection system, a plurality of airborne objects.

A method for improving wireless communication for a drone swarm, the method comprising, at a computing system, receiving, from a plurality of drones of a drone swarm, data comprising radio frequency signal characteristics detected by the plurality of drones; generating a model of a radio frequency environment for the drone swarm based on the data received from the plurality of drones; and controlling at least one wireless communication system to improve wireless communication for the drone swarm based on the model of the radio frequency environment.

The present invention provides an improved, autonomous unmanned aircraft vehicle (UAV) for harvesting or diluting fruit, and a control unit for coordinating flight and/or harvesting missions thereof, as well as a system and method for harvesting fruits.

A location processing device includes a selection member configured to select multiple flight vehicles to form a flight group. The location processing device also includes a determination member configured to determine first relative location information of the multiple flight vehicles of the flight group while instructing an operation device configured to control the multiple flight vehicles to perform operations.

In an example, a method may assign a first drone of a drone network a first task, the first task may instruct the first drone to transport a first package to a first destination in a geographic area. The method may receive roadway traffic data for a plurality of roadway vehicles in the geographic area; determine, based on the roadway traffic data and during transit of the first package to the first destination by the first drone, to transfer the first package to a second drone in the drone network; and transfer the first package to the second drone in the drone network.

Proposed is a method of determining a location for swarm flight using UWB, the method including: computing a reference location from GPS information in a case where the location is measured; sending out a pulling signal, preset according to a two-way ranging format, according to slave ranging scheduling corresponding to each formation, and receiving a pushing signal from a neighboring flight vehicle and performing ranging; computing a relative location in the formation on a master-slave basis from a ranged pull-push relationship using TWR time information, and computing the relative location in the formation on a slave-slave basis using a received signal strength indicator and time of arrival; generating a fingerprint map in a manner that varies with each formation, using all the computed relative locations in the formation on the master-slave basis; and computing the location of the swarm flight vehicle using the generated fingerprint map.

An unmanned aerial vehicle (UAV) uses a first baseband processor to establish a first communication link with a ground station of a wireless network and a second baseband processor that establishes a second communication link with a user device. The second baseband processor for processing a radio transmission from a user equipment. The second baseband processor is communicatively coupled to the first baseband processor such that the radio transmission is communicated to the ground station via the first communication link. Flight-control hardware steers the UAV along a flight trajectory that is determined by a ground-based UAV controller based at least on the radio transmission, such that the UAV or the ground station can locate or track the user equipment.

A multirotor aircraft that includes a chassis, three or more vertical rotors, one or more free wings and one or more fixed horizontal rotor. The free wing is attached to the chassis by an axial connection so that the angle of the free wing is changed relative to the chassis according the flow of air over the free wing. The fixed horizontal rotor enables the multirotor aircraft to lower and climb while flying forward at a stable horizontal pitch of the chassis.

An information apparatus includes a schedule obtainment unit that obtains flight schedule information transmitted from terminals. Allocation unit allocates an airspace and a permitted flight period to drone based on the obtained flight schedule information. If there is a predetermined commonality in the airspaces and the flight directions of multiple drones, allocation unit causes those multiple drones to share the airspace under the condition that formation flight in which distances therebetween are controlled is performed. Allocation unit determines an arrangement in which multiple drones are aligned in the order in which drones withdraw from formation flight as the arrangement of multiple drones during formation flight. Also, allocation unit determines an arrangement in which drone that does not include a formation flight function is in front and drone that includes formation flight function follows therebehind.