A device comprises display means and means for calculating and memorizing the positions of points forming patterns being capable of being updated by an operator, the position, orientation and the form of a pattern being defined by a set of technical parameters. Each pattern comprises a set of control points, the function of a control point being, by virtue of its movement, to modify at least one technical parameter, a trajectory pattern modification being carried out through an interaction in which the operator moves at least one control point.

A method of migrating unmanned aerial vehicle (UAV) operations between geographic survey areas, including: uploading a first plurality of flight missions into a first UAV pod; deploying the UAV pod; autonomously launching the UAV from the UAV pod a plurality of times to perform the first plurality of flight missions; providing first survey data from the UAV to the UAV pod; autonomously migrating the UAV from the first UAV pod to a second UAV pod; receiving a second plurality of flight missions in a second UAV pod; providing the UAV with one of the second plurality of flight missions from the second UAV pod; autonomously launching the UAV from the second UAV pod a plurality of times to perform the second plurality of flight missions; and providing a second survey data from the UAV to the second UAV pod; where the autonomous migrating of the UAV to accomplish the first and second survey data happens autonomously and without active human intervention.

Embodiments include method, systems and computer program products for route planning and management with a drone. Aspects include receiving a destination for an individual and determining multiple routes between a position of the individual and the destination. Aspects further include deploying the drone to determine safety and accessibility risks associated with the multiple routes and determining a preferred route from the multiple routes based on the safety and accessibility risks associated with the multiple routes.

Examples for controlling an aerial device are described. An example method includes a processor receiving a request comprising an origin location and a destination location, determining a flight path based on the origin location and the destination location, wherein the flight path is determined based on at least one policy driven control rule, providing the flight path in response to the request and monitoring an unmanned aerial vehicle traversing the flight path.

A communication travel plan generation system for a vehicle is provided. The vehicle includes a communication hub, a system input and at least one controller. The communication hub is housed in the vehicle and is configured to communicate with a plurality of spaced subscriber communication nodes. The system input is configured to receive mission-specific information. The at least one controller is in communication with the system input. Moreover, the at least one controller is configured to apply the mission-specific information to a mission planning system to generate a mission plan of the vehicle. The at least one controller is further configured to implement the communication travel plan generation system to automatically generate travel waypoints for the mission planning system based at least in part on the mission-specific information applied to the mission planning system.

Systems and methods for UAV safety are provided. An authentication system may be used to confirm UAV and/or user identity and provide secured communications between users and UAVs. The UAVs may operate in accordance with a set of flight regulations. The set of flight regulations may be associated with a geo-fencing device in the vicinity of the UAV.

An unmanned aerial vehicle (UAV) survey system and methods for surveying an area of interest are disclosed. The system can include a plurality of docking stations positioned at predetermined locations within the area of interest, each docking station comprising a platform to support a UAV while docked at the docking station; a battery charger; and a communications interface; a plurality of UAVs distributed among the plurality of docking stations, each UAV comprising a communications interface; and a system controller comprising a processor and transmitter communicatively coupled to the plurality of UAVs.

The invention relates to a remote-controlled system comprising:at least one ground interface (3), from which an operator can control a remote-controlled vehicle;at least one mission unit (7, 8) in said vehicle; anda data link between said interface (3) and said mission unit (7, 8). Said system is characterized in that it comprises, on the ground and in the vehicle, security monitoring systems (6, 10) suitable for approving and/or authenticating critical data and/or commands exchanged between the ground and the vehicle and also suitable for verifying the integrity of said data. It is thus possible to use, on the ground as on board the vehicle, interfaces and units with a low level of criticality at the same time as interfaces and units with the highest level of criticality.

A device receives a request for a mission that includes traversal of a flight path from a first location to a second location and performance of mission operations, and calculates the flight path from the first location to the second location based on the request. The device determines required capabilities for the mission based on the request, and identifies UAVs based on the required capabilities for the mission. The device generates flight path instructions for the flight path and mission instructions for the mission operations, and provides the flight path/mission instructions to the identified UAVs to permit the identified UAVs to travel from the first location to the second location, via the flight path, and to perform the mission operations at the second location.

A method for controlling a drone includes receiving a natural language request for information about a spatial location, parsing the natural language request into data requests, configuring a flight plan and controlling one or more drones to fly over the spatial location to obtain data types based on the data requests, and extracting and analyzing data to answer the request. The method can include extracting data points from the data types, obtaining labels from a user for one or more of the data points, predicting labels for unlabeled data points from a learning algorithm using the labels obtained from the user, determining the predicted labels are true labels for the unlabeled data points and combining the extracted data, the user labeled data points and the true labeled data points to answer the request for information. The learning algorithm may be active learning using a support vector machine.