An aircraft position control system includes a processor configured to calculate a feedback manipulated variable of an aircraft by feedback control so that the aircraft heads toward a target landing point, based on at least a relative position and a relative velocity. The processor is further configured to set an addition value, by referring to a switching line preliminarily provided in a manner passing through an origin of a coordinate plane having orthogonal axes representing the relative position and the relative velocity and separating an acceleration region in which the relative velocity is to be increased and a deceleration region in which the relative velocity is to be decreased. The addition value tends to increase the relative velocity when a coordinate point of a current relative position and a current relative velocity is located in the acceleration region to calculate a manipulated variable of the aircraft.

The present disclosure may provide a system for positioning a target scene and/or navigating a detection equipment to the target scene. The system may obtain at least one image captured by at least one camera. The at least one image may include the target scene. The system may also determine a position of the target scene based on the at least one image. Further, the system may plan a travelling route for a detection equipment to the target scene based on the position of the target scene.

A disclosed method includes monitoring a plurality of emergency event queues at an emergency network entity; determining that an emergency event in one of the emergency event queues corresponds to an emergency type that can be responded to using an unmanned aerial vehicle; determining that an unmanned aerial vehicle is available that has capabilities corresponding to the emergency type; establishing an unmanned aerial vehicle control link between the unmanned aerial vehicle and the emergency network entity; and deploying the unmanned aerial vehicle to the emergency event location and providing data from the unmanned aerial vehicle on a display of the emergency network entity.

A route planning method includes displaying a perspective switching control and a current perspective display area on a route planning interface. The perspective switching control is configured to switch a current perspective image in the current perspective display area from a first perspective image to a second perspective image in response to a perspective switching instruction. The first perspective image is one of a plurality of perspective images including a first-person perspective image and a third-person perspective image. The second perspective image is another one of the plurality of perspective images. The method further includes, in response to a waypoint creation instruction, creating a waypoint based on a position of a movable platform in the current perspective image.

A method (600) for obtaining information about a structure (101) using a drone (102) equipped with a sensor system (103). The method includes, during a first period of time and while the drone's sensor system is pointing towards the structure, using (s602) the sensor system to obtain first depth data. The method also includes obtaining (s604) a first height value, Z1, indicating or being based on the height of the drone above a bottom point of the structure during the first period of time. The method also includes using (s606) the first depth data to determine a first vertical coordinate representing a top point of the structure. The method further includes estimating (s608) a height of the structure, wherein estimating the height of the structure comprises using the first vertical coordinate and the first height value, Z1, to estimate the height of the structure.

An information processing method executed by one processor or executed by a plurality of processors in cooperation, the method includes: an acquisition step of acquiring operation information for one or a plurality of 3D blocks selected from among a plurality of virtual 3D blocks in which different trajectories of a flight vehicle are preset; a generation step of executing connection processing or synthesis processing of two or more 3D blocks on the basis of the operation information; and an output step of outputting information of a flight path of the flight vehicle generated by the processing.

A control program for an information processing terminal device causes an information processing terminal device to execute: an identification information reception process for receiving mobile body identification information which has been transmitted from a mobile body, from which the mobile body is identifiable, and which indicates a state of the mobile body; and an identification information transmission process for transmitting the received mobile body identification information to a mobile body management device that manages the mobile body. Thus, it is possible to comprehensively ascertain the operational status of a large number of mobile bodies in various locations in order to accurately manage operation of the mobile bodies.

Provided is a method for autonomous unmanned aerial vehicle (UAV) landing, including: collecting an unmanned vehicle image dataset in advance, training an unmanned vehicle detection model by using the unmanned vehicle image dataset combined with a YOLOv5 neural network; collecting, by the UAV during a landing process, images of an area below the UAV at specified time intervals, inputting the collected images into the unmanned vehicle detection model for recognition and detection; if an unmanned vehicle is recognized, further determining position information of the unmanned vehicle, and outputting, by a control module, a long-range guidance control instruction, to instruct the UAV to fly to a specified distance position above the unmanned vehicle; collecting, by the UAV, an image of a target and determining position information of the target, and outputting, by the control module, a short-range guidance control instruction to instruct the UAV to land on an unmanned vehicle platform.

A drone delivery system and network includes host sites that are geographically arranged in a region having overlapping drone delivery ranges. A central flight server of the system determines delivery flight paths for a drone transporting a payload from an originating host site to another host site or a target site in the network. The flight range of the drone is extended based on a delivery type for the payload and a distance of the target site from the originating host site.

In some embodiments, the present disclosure provides systems and methods enabling unmanned vehicle navigation and delivery including an integrated roofing accessory integrated into a roof, the integrated roofing accessory including at least one antenna and a computing module in communication with the at least one antenna, where the computing module, when software is executed, is configured to transmit, via the at least one antenna: electronic operating instructions to at least one unmanned vehicle, and network messages related to the at least one unmanned vehicle to at least one additional integrated roofing accessory. A landing member is on the roof and the electronic operating instructions comprise: at least one landing instruction configured to cause the at least one unmanned vehicle to land on the landing member, and at least one take-off instruction configured to cause the at least one unmanned vehicle to take off from the landing member.