A device for establishing a communication network and collecting situation information at a site of a collapse disaster is disclosed. The device includes a ground drone 10 deployed at the site of the collapse disaster, the ground drone 10 having a communication device 80 mounted thereon, a flying drone 32 mounted on and carried by the ground drone 10 to fly and photograph the site of the collapse disaster, a camera device 40 mounted on the ground drone 10 to photograph surroundings of the ground drone 10, a storage 50 installed on the ground drone 10, and a plurality of repeater modules 60 connected by the wireless communication network to relay wireless communications between the ground drone 10, the flying drone 32, and a command and control center 100, wherein the storage 50 accommodates the repeater modules 60, and throws the repeater modules 60 in response to an operation signal.

A tilt rotor-based linear multi-rotor unmanned aerial vehicle (UAV) structure for crop protection and a control method thereof are provided. The tilt rotor-based linear multi-rotor UAV structure for crop protection includes main lift power structures, tilt power structures, and a main frame structure, where the main frame structure is located in a middle; the main lift power structures are distributed at left and right ends of the main frame structure; and the tilt power structures are symmetrically distributed between the main frame structure and the main lift power structures. A vector power structure is adopted to ensure flexible attitude changes and smoother and more accurate UAV operations, and improve the operation efficiency. Meanwhile, the tilt rotor-based linear multi-rotor UAV structure is adapted to the complex working environment in China's ever-changing terrains.

Disclosed is a nighttime cooperative positioning method based on an unmanned aerial vehicle (UAV) group, falling within the technical field of aircraft navigation and positioning. According to the present disclosure, the cooperative visual positioning and the collision warning for UAVs are realized by means of light colors of the UAVs, respective two-dimensional turntable cameras and a communication topology network, without adding additional equipment and without relying on an external signal source, avoiding external interference. Compared with the positioning method in a conventional manner, in the present disclosure, the system is effectively simplified, and the cooperative positioning among the interiors of a UAV cluster can be realized relatively simply and at a low cost to maintain the formation of the UAV group.

The present disclosure relates to a method for stochastic inspections on power grid lines based on unmanned aerial vehicle-assisted edge computing. According to the method, a stochastic distributed inspection unmanned aerial vehicle is adopted to acquire video images on a target power grid area, which can reduce funds and time costs of inspections. With assistance of superior unmanned aerial vehicle, a goal is to minimize energy consumption of an unmanned aerial vehicle system and extend operation time of the unmanned aerial vehicles under same payload conditions, while processing video image data collected from the inspection unmanned aerial vehicles. The near-far effect generated by communications between mobile unmanned aerial vehicles is eliminated by introducing a NOMA, and position coordinates, system resource allocations and task offload decision schemes are solved by using a method of combining a DDPG algorithm in a Deep reinforcement learning with a genetic algorithm.

An information output control method includes: outputting, in a first mode, information for monitoring or controlling a moving body that travels through automatic driving, to a terminal for an operator to monitor or control the moving body remotely; obtaining first information related to an event or a situation in a periphery arising when the moving body moves, and second information related to a performance of the moving body; determining, based on at least the first information, a likelihood that the moving body can respond to the event or the situation through autonomous control; and when the likelihood determined exceeds a threshold specified based on the second information, outputting the information for monitoring or controlling the moving body to the terminal in a second mode different from the first mode.

An information processing apparatus (MB) includes a processor (PRM). The processor (PRM) searches for a route to a destination using the 3D map of surroundings of the destination generated by the client (CL) using SLAM.

Disclosed herein is a method and system for flying rotary wing drone. An add-on flight camera that is free to rotate around the vehicle's yaw axis is attached to the drone. The flight camera is automatically looking in the direction of its flight. The video from the flight camera is streamed to the operator's display. Thus the rotary wing drone can fly in any direction with respect to its structure, giving the operator a first person view along the flight path, thus keeping high level of situational awareness to the operator. The information required for controlling the camera orientation is derived from sensors, such as GPS, magnetometers, gyros and accelerometer. As a backup mode the information can be derived from propeller commands or tilt sensors.

The invention relates to a system for shooting moving images, includes a drone provided with a camera and a ground station communicating with the drone, the camera being directed along a sight axis, the displacements of the drone being defined by flight instructions applied to a set of propulsion units of the drone, the drone being adapted to fly autonomously to shoot moving images of a target moving with the ground station. The system includes control means configured to generate the flight instructions so as to hold substantially constant the angle between the sight axis of the camera and the direction of displacement of the target upon activation of the target tracking. The ground station includes means, controlled by at least one piloting means forming a button for activating the target tracking, to alternatively switch the drone piloting mode between a mode of activation of the target tracking system and a deactivation mode.

Unmanned Aerial Systems (UAS) for use in the detection, localization, and quantification of gas leaks are provided. More specifically the use of an in-situ sensor mounted to a UAS such that the sensor is positioned in a region unaffected by prop wash that is relatively undisturbed by the effects of the propeller(s) and other environmental conditions when in use is described. Additionally, methods of determining the optimal placement of the in-situ sensor on any given UAS are also provided.

An information processing method executed by one processor or executed by a plurality of processors in cooperation, the method includes: an estimation step of estimating a relative position or a relative attitude of an aerial vehicle with respect to a moving body; an acquisition step of acquiring information related to a distance between the moving body and the aerial vehicle; and a switching step of switching an estimation method for estimating the relative position or the relative attitude of the aerial vehicle, based on the information related to the distance.