Embodiments of the present disclosure provides a method and a system for managing UAV data transmission in smart city based on IoT. The method includes obtaining requirement information of a user by a general platform of the management platform from the user platform through the service platform, and assigning the requirement information to a corresponding management sub-platform; determining different time domains and different airspaces of at least two UAVs performing missions by the management sub-platform based on the requirement information, wherein the different time domains may have an overlapping interval, and the different airspaces may have an overlapping interval; and controlling the at least two UAVs to perform the different missions in the different time domains and the different airspaces by the management platform, and collecting mission data corresponding to different missions.

Methods, systems, apparatuses, and computer program products for geofence management with an unmanned aerial vehicle (UAV) are disclosed. In a particular embodiment, a method of geofence management with a UAV includes a geofence manager utilizing a first set of sensor data collected by a first set of in-flight UAVs of the UAV system to detect a first object. In this embodiment, the geofence manager also utilizes the first set of sensor data to determine a first location of the detected first object and determines whether the first location of the detected first object is within a geofence of an area.

A computer accesses an input element storage and an output element storage. The computer accesses a symbolic expression for output element storage as a function of the input element storage. The computer computes, using a symbolic computation engine of the computer, a symbolic expression for the tangent space Jacobian of the output element storage with respect to an input tangent space. The computer outputs the computed expression.

Unmanned aerial vehicles (UAVs) may facilitate insurance-related tasks. UAVs may actively be dispatched to an area surrounding a property, and collect data related to property. A location for an inspection of a property to be conducted by a UAV may be received, and one or more images depicting a view of the location may be displayed via a user interface. Additionally, a geofence boundary may be determined based on an area corresponding to a property boundary, where the geofence boundary represents a geospatial boundary in which to limit flight of the UAV. Furthermore, a navigation route may be determined which corresponds to the geofence boundary for inspection of the property by the UAV, the navigation route having waypoints, each waypoint indicating a location for the UAV to obtain drone data. The UAV may be directed around the property using the determined navigation route.

In order to provide a flight vehicle control apparatus, a method and a program for an automatic navigation ship navigating in a vicinity of a harbor, a flight vehicle control apparatus according to one example embodiment of the present invention includes calculation means for calculating a first radio wave range required for navigation of a ship capable of automatic navigation using mobile communications, based on a shape of a harbor, measurement means for measuring a second radio wave range in which a radio wave from a base station on a ground and disposed in the harbor reaches; and determination means for determining an arrangement of one or more flight vehicles equipped with a base station function such that a region that is within the first radio wave range and is not included in the second radio wave range falls within a third radio wave range of the one or more flight vehicles.

In order to provide a flight vehicle control apparatus, a method and a program for an automatic navigation ship navigating in a vicinity of a harbor, a flight vehicle control apparatus according to one example embodiment of the present invention includes calculation means for calculating a first radio wave range required for navigation of a ship capable of automatic navigation using mobile communications, based on a shape of a harbor, measurement means for measuring a second radio wave range in which a radio wave from a base station on a ground and disposed in the harbor reaches; and determination means for determining an arrangement of one or more flight vehicles equipped with a base station function such that a region that is within the first radio wave range and is not included in the second radio wave range falls within a third radio wave range of the one or more flight vehicles.

The present disclosure relates to the technical field of unmanned aerial vehicle (UAV) tests, and more particularly, to an electromagnetic release device for use in vertical falling tests of tri-rotor UAVs and including a mounting frame and multiple clamping and release modules arranged on the mounting frame. movable kits, which include a ferromagnetic plate matching and connected with the electromagnetic adsorption assembly, one end of the ferromagnetic plate is hinged with the electromagnet mounting frame, and the other end of the ferromagnetic plate is connected with the UAV connecting plate; The present disclosure uses electromagnetic control to accurately control the simultaneous opening of three clamping and release modules of a UAV, realizes the release and landing of the UAV in a horizontal status, and is characterized by simple structure and easy operation.

Intermodal vehicles may be loaded with items and an aerial vehicle, and directed to travel to areas where demand for the items is known or anticipated. The intermodal vehicles may be coupled to locomotives, container ships, road tractors or other vehicles, and equipped with systems for loading one or more items onto the aerial vehicle, and for launching or retrieving the aerial vehicle while the intermodal vehicles are in motion. The areas where the demand is known or anticipated may be identified on any basis, including but not limited to past histories of purchases or deliveries to such areas, or events that are scheduled to occur in such areas. Additionally, intermodal vehicles may be loaded with replacement parts and/or inspection equipment, and configured to conduct repairs, servicing operations or inspections on aerial vehicles within the intermodal vehicles, while the intermodal vehicles are in motion.

A commanded control signal is compared against an adaptive control signal in order to detect a rotor strike by a rotor included in an aircraft, wherein the adaptive control signal is associated with controlling the rotor and the adaptive control signal varies based at least in part on the commanded control signal and state information associated with the rotor. In response to detecting the rotor strike, a control signal to the rotor is adjusted in order to reduce a striking force associated with the rotor.

A damage identification (DI) system for identifying property damage may include a drone fleet including several autonomous or semi-autonomous drones communicatively coupled together and a DI computing device. Each drone may collect drone-collected damage data, including image data. The DI computing may assign a geographical region to the drone fleet. The drone fleet may automatically navigate to, and then within, the geographical region to detect potential damage to properties. The DI computing device may further receive drone-collected damage data associated with a property within the geographical region from the drone fleet when the drone fleet determines the property is actually or potentially damaged, generate aggregated damage data associated with the property based at least partially upon the drone-collected damage data, and/or store the aggregated damage data in a blockchain structure associated with the property for damage assessment of the property.