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.

An unmanned aerial vehicle (UAV) or drone executes a neural network to assist with detecting and responding to attacks. The neural network may monitor, in real time, the data stream from a plurality of onboard sensors during navigation and may communicate with a high-altitude pseudosatellite (HAPS) platform. For example, if the neural network detects a cyber-attack but determines that it does not interfere with external communications, it may shift navigation control of the drone to the HAPS.

Proposed are an apparatus and a method for operating an electronic detonator blaster with an integrated flight function. The apparatus includes a blasting command transmission part configured to transmit a blasting command to each of electronic detonators which are combined with a flying vehicle capable of being flown and controlled by induction of radio waves and are connected to each other, a connection control part configured to release the connection of the flying vehicle with the electronic detonators when the transmission of the blasting command is completed, and a flight control part configured to control the flying vehicle to land at a preset return point after ascending to a preset altitude when the connection of the flying vehicle with the electronic detonators is completely released.

A computer-implemented method for autonomously exploring, by a mobile robot, one or more objects of interest, the mobile robot comprising a computing unit and a laser scanner module for scanning surfaces of the one or more objects of interest, the laser scanner module having a field of view. The method comprising defining a 3D exploration map, wherein the one or more objects of interest are situated in the exploration map, partitioning the exploration map into a multitude of 3D exploration blocks, and an autonomous exploration of the exploration map by means of the mobile robot, wherein the exploration comprises, by the laser scanner module, generating scan data related to a point cloud while the mobile robot is travelling along an exploration path.

A method is usable to inspect an environmental device includes using a mobile inspection device to collect data of a site where the environmental device is positioned, generating information of changes in the site where the environmental device is positioned based on the data collected by the mobile inspection device, acquiring operation data of the environmental device and information of an initial operation time of the environmental device, and identifying a health state parameter of the environmental device. The health state parameter of the environmental device is identified based on the information of changes in the site where the environmental device is positioned, the operation data of the environmental device, and the information of the initial operation time of the environmental device.

An sUAS operations device that allows a pilot to fly an sUAS. The device includes a sensor interface to receive signals from a sensor attached to the pilot to monitor physiological responses of the pilot during the flight. The system records a video of the flight and synchronizes it with the sensor feedback to allow correlation of the stress levels with the flight. The system also may provide feedback to the pilot during flight.

Systems and methods for public transport infrastructure facilitated drone delivery are provided. In example embodiments, a request to deliver a package to a drop-off destination using a drone is received. Public infrastructure information is accessed. A public infrastructure terminal from which the drone delivers the package is identified based on the public infrastructure information. An instruction is communicated to transport the package to the identified public. A drone delivery route from the identified public infrastructure terminal to the drop-off destination is determined based on the public infrastructure information. An instruction to deliver the package using the drone delivery route is communicated to the drone.

A method for guiding an autonomous aircraft, the aircraft includes an automatic pilot, a plurality of sensors and an imaging unit, the aircraft being configured to fly over a geographic zone comprising overflight prohibited zones, the guidance method can advantageously comprise a phase of real flight of the autonomous aircraft by using a given guidance law, comprising the following steps: determining a current state of the autonomous aircraft; determining an optimum action to be executed by using a neural network receiving the current state; determining a plurality of control instructions compatible with the guidance law based on the optimum action to be executed; transmitting to the automatic pilot the plurality of control instructions, which provides a new state of the autonomous aircraft.

Systems and methods for controlling an aerial vehicle to avoid obstacles are disclosed. A system can detect, based on a world model generated from sensor data captured by one or more sensors positioned on the aerial vehicle during flight, an obstacle for the aerial vehicle, and trigger an augmented manual control mode responsive to a speed of the aerial vehicle being less than a predetermined threshold and detecting the obstacle. The system can set, responsive to triggering the augmented manual control mode, a speed constraint for the aerial vehicle in a direction of the obstacle based on a distance between the aerial vehicle and the obstacle. The system can receive an instruction to navigate the aerial vehicle in the direction at a second speed, and adjust the instruction to replace the second speed with the speed constraint, causing the aerial vehicle to navigate at the speed constraint.

A method, apparatus, system, and computer program product for controlling landing of a vertical landing vehicle. In one illustrative example, a method controls landing of a vertical landing vehicle. A landing profile for landing the vertical landing vehicle is determined by the computer system using a third derivative of a position equation, an initial position, an initial speed, a final speed, and a touchdown point for the vertical landing vehicle. Landing of the vertical landing vehicle is controlled using the landing profile.