A control method of an air vehicle for urban air mobility (UAM) is provided. The method enable people to more easily control an air vehicle for UAM, and moves in a flight manner familiar to people during flight to allow a driver and passengers comfortably use the air vehicle without discomfort such as motion sickness, dizziness, etc. The control method includes acquiring air vehicle driving information; adjusting an altitude of the air vehicle to a target altitude; adjusting longitudinal acceleration and longitudinal deceleration of the air vehicle; and operating steering during flight of the air vehicle.

An unmanned aerial vehicle (UAV) control method includes: obtaining a distance between the UAV and a home point; obtain, based on the distance, a first image captured by photographing a home point with a first photographing device; sending the first image to a terminal device for display; and upon receiving a first control instruction sent by the terminal device, adjusting an attitude of the UAV based on the first control instruction. The present disclosure can improve the safety of the UAV during returning and landing. A UAV, a system and a storage medium are also provided.

Systems and methods of the present invention are provided to generate a plurality of flight trajectories that do not conflict with other aircraft in a local area. Interventions by an air traffic control system help prevent collisions between aircraft, but these interventions can also cause an aircraft to substantially deviate from the pilot's intended flight trajectory, which burns fuels, wastes time, etc. Systems and methods of the present invention can assign a standard avoidance interval to other aircraft in the area such that a pilot's aircraft does not receive an intervention by an air traffic control system. Systems and methods of the present invention also generate a plurality of conflict-free flight trajectories such that a pilot or an automated system may select the most desirable flight trajectory for fuel efficiency, speed, and other operational considerations, etc.

Autoland systems and processes for landing an aircraft without pilot intervention are described. In implementations, the autoland system includes a memory operable to store one or more modules and at least one processor coupled to the memory. The processor is operable to execute the one or more modules to identify a plurality of potential destinations for an aircraft; calculate a merit for each potential destination identified; select a destination based upon the merit; and create a route from a current position of the aircraft to an approach fix associated with the destination that accounts for the terrain characteristic(s) and/or obstacle characteristic(s). The processor can also cause the aircraft to traverse the route, determine a final approach segment associated with the route; identify terrain characteristic(s) and/or obstacle characteristic(s) associated with the final approach segment; and determine an adjusted final approach segment accounting for the terrain characteristic(s) and/or obstacle characteristic(s).

Autoland systems and processes for landing an aircraft without pilot intervention are described. In implementations, the autoland system includes a memory operable to store one or more modules and at least one processor coupled to the memory. The processor is operable to execute the one or more modules to identify a plurality of potential destinations for an aircraft. The processor can also calculate a merit for each potential destination identified, select a destination based upon the merit; receive terrain data and/or obstacle data, the including terrain characteristic(s) and/or obstacle characteristic(s); and create a route from a current position of the aircraft to an approach fix associated with the destination, the route accounting for the terrain characteristic(s) and/or obstacle characteristic(s). The processor can also cause the aircraft to traverse the route, and cause the aircraft to land at the destination without requiring pilot intervention.

Disclosed herein are methods and systems for operating drones beyond visual line of sight (BVLOS), comprising receiving a first image stream captured by one or more imaging sensors mounted on a first drone and operated to monitor a companion second drone flying within visual line of sight of the first drone, receiving a second image stream captured by one or more imaging sensors mounted on the second drone and operated to monitor the first drone flying within visual line of sight of the second drone, operating the second drone based on analysis of the first image stream in which the second drone and its vicinity are continuously tracked, and operating the first drone based on analysis of the second image stream in which the first drone and its vicinity are continuously tracked.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for an unmanned aerial system inspection system. One of the methods is performed by a UAV and includes receiving, by the UAV, flight information describing a job to perform an inspection of a rooftop. A particular altitude is ascended to, and an inspection of the rooftop is performed including obtaining sensor information describing the rooftop. Location information identifying a damaged area of the rooftop is received. The damaged area of the rooftop is traveled to. An inspection of the damaged area of the rooftop is performed including obtaining detailed sensor information describing the damaged area. A safe landing location is traveled to.

The invention relates to a method for automatically guiding a drone with a computer, with a view to landing the drone on a docking and recharging platform, the drone comprising a first luminous means that emits a first light signal and a second luminous means that emits a second light signal different from the first light signal, the first luminous means and the second luminous means being fastened at two separate points to the drone, the station receiving images captured by a camera, said method comprising: analyzing the images captured by the camera so as to locate the first and second luminous means, determining the position and orientation of the drone depending on the determined position of the first and second luminous means, generating, with the computer, piloting instructions intended for the drone, said instructions being configured to guide the drone towards the docking and recharging platform, transmitting said instructions to the drone, the drone receiving and implementing said instructions.

A reconfigurable system capable of autonomously exchanging material from unmanned vehicles of various types and sizes. The system comprises an environmental enclosure, a landing area, a universal mechanical system to load and unload material from the unmanned vehicle, and a central processor that manages the aforementioned tasks. The landing area may comprise a one or more visible or non-visible markers/emitters capable of generating composite images to assist in landing the unmanned vehicle upon the reconfigurable, autonomous system.

Technology for generating and displaying a graphical user interface for operating an unmanned aerial vehicle (UAV) is disclosed herein that generates and updates a representation of a spline flight path. In various implementations, a graphical user interface detects user interactions with a remote control device directing the flight control subsystem of the UAV to record keyframes and to compute a spline based on the keyframes during flight. The graphical user interface displays a real-time perspective of the UAV with a representation of the spline and the keyframes overlaying the view. The graphical user interface continually updates the representation as the UAV flies and when the spline is updated as the keyframes are updated.