Patent classifications
G08G5/57
System and method for instructing one or more weather drones
A computer implemented method and system of instructing one or more weather drones. The method includes analysing a first data set comprising flight path data indicative of the flight paths of one or more aircrafts over a predefined time period. The method includes identifying, based on said analysis, at least one geographical region which is not intercepted by or adjacent to, any of the flight paths of the one or more aircrafts. The method includes instructing one or more weather drones to fly to the at least one geographical region.
Flight control for flight-restricted regions
A movable object includes one or more processors individually or collectively configured to assess a location of the movable object, calculate a distance between the movable object and a restricted region using the location of the movable object, assess whether the distance falls within a first distance threshold, and instruct the movable object to take a movement response measure selected from (1) a first movement response measure when the distance falls within the first distance threshold, and (2) a second movement response measure different from the first movement response measure when the distance falls outside the first distance threshold. The first movement response measure is related to a current movement status of the movable object.
INFORMATION PROCESSING DEVICE AND DISPLAY CONTROL METHOD
An UAV monitoring server causes a base object of an UAV base to be displayed on a two-dimensional map screen, and also causes, based on an operation status of each of a plurality of UAVs, information indicating the UAV in flight standby, take-off operation, or landing operation at the UAV base and information indicating the UAV in flight outside the UAV base to be displayed in a different display mode on the two-dimensional map screen.
Method and System for Providing Route of Unmanned Air Vehicle
A method and a system for establishing a route of an unmanned aerial vehicle are provided. The method includes identifying an object from surface scanning data and shaping a space, which facilitates autonomous flight, as a layer, collecting surface image data for a flight path from the shaped layer, and analyzing a change in image resolution according to a distance from the object through the collected surface image data and extracting an altitude value on a flight route.
Method, device and system for processing a task
A task processing method includes obtaining a task data loading request; and searching for target task data in a task database according to the task data loading request, where the task database stores task data corresponding to one or more tasks, and the target task data includes a coordinate of a waypoint of a target route of a target task. The method further includes controlling a movable object to reproduce the target task corresponding to the target task data. Controlling the movable object to reproduce the target task includes controlling the movable object to move according to the target route corresponding to the target task data.
Fiducial-based navigation of unmanned vehicles
Techniques for facilitating an autonomous operation, such as an autonomous navigation, of an unmanned vehicle based on one or more fiducials. For example, image data of a fiducial may be generated with an optical sensor of the unmanned vehicle. The image data may be analyzed to determine a location of the fiducial. A location of the unmanned vehicle may be estimated from the location of the fiducial and the image. The autonomous navigation of the unmanned vehicle may be directed based on the estimated location.
Aircraft guidance with a multi-vehicle network
Aircraft guidance with a multi-vehicle network is disclosed. A disclosed example apparatus to determine a position of an aircraft in a contested area includes a direction and distance calculator to determine a relative position of the aircraft to a mobile platform based on a signal transmitted between the aircraft and the mobile platform. The apparatus further includes a position calculator to calculate the position of the aircraft based on the relative position and a position of the mobile platform.
Selection of an alternate destination in response to a contingency event
A method is provided for supporting a robot in response to a contingency event. The method includes detecting the contingency event during travel of the robot on a route to a destination. In response, the method includes determining a position of the robot, and accessing information about alternate destinations associated with the route. The method includes selecting an alternate destination from the alternate destinations based on a time to travel from the position of the robot to the alternate destination, and the information. And the method includes outputting an indication of the alternate destination for use in at least one of guidance, navigation or control of the robot to the alternate destination.
Drone control system and intelligent drone flight planning method thereof
According to the present invention, a drone control system includes: a flying drone; a cloud server configured to transmit and receive information to and from the drone by wireless communication; and a ground control system configured to establish a flight plan of the drone by connecting the drone and the cloud server by the wireless communication.
Autonomous control techniques for avoiding collisions with cooperative aircraft
In some embodiments, a non-transitory computer-readable medium having logic stored thereon is provided. The logic, in response to execution by one or more processors of an unmanned aerial vehicle (UAV), causes the UAV to perform actions comprising receiving at least one ADS-B message from an intruder aircraft; generating a intruder location prediction based on the at least one ADS-B message; comparing the intruder location prediction to an ownship location prediction to detect conflicts; and in response to detecting a conflict between the intruder location prediction and the ownship location prediction, determining a safe landing location along a planned route for the UAV and descending to land at the safe landing location.