Method, system and computer program product for providing a predicted vehicle track and for providing alerts when two predicted vehicle tracks are closer than a threshold amount. A vehicle intent prediction model is generated based on past instance of tracks for a vehicle operation, known vehicle intent data for the past instances, and contextual factors, such as weather, airline operator, air vehicle type or configuration, day of the week, etc. for the past instances. The vehicle intent prediction model can be generated using one or more machine learning algorithms. A future vehicle trajectory for a current vehicle operation can be output by the vehicle intent prediction model using the current track and existing contextual factors for the current vehicle operation. In the event that two vehicles following their respective predicted vehicle future trajectories would be closer than a threshold distance, an alert can be provided.

Mobile objects and resources are managed by a system including a mobile object server operable to receive information from a plurality of mobile objects in a geographic space, and an event server in communication with the mobile object server. The event server is operable to receive, from the mobile object server, resource utilization information indicating a resource in the geographic space that each mobile object is scheduled to use, calculate a state of use of the resource based on a predicted arrival time of each mobile object at the resource, and send a recommendation for relaxing congestion of the resource.

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.

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.

An unmanned aerial system (UAS) position reporting system may include an air traffic control reporting system (ATC-RS) coupled with a ground control station (GCS) of a UAS and at least one remote terminal. The ATC-RS may include an automatic dependent surveillance broadcast (ADS-B) and traffic information services broadcast (TIS-B) transceiver and one or more telecommunications modems. The ATC-RS may receive position data of at least one UAS in an airspace from the GCS and the at least one remote terminal and selectively communicate the position of the at least one UAS in the airspace to a civilian air traffic control center (ATC), to a military command and control (C2) communication center, or to both through the ADS-B and TIS-B transceiver. The ATC-RS may display the position of the at least one UAS in the airspace on a display screen coupled with the ATC-RS.

Methods, apparatus, systems and articles of manufacture to implement computer aided dispatch of drones are disclosed. Example drone dispatching methods disclosed herein include transmitting a flight plan for a drone to a flight control platform, the flight plan based on a first location associated with a service request. Disclosed example methods also include, in response to receiving a message from the flight control platform indicating the flight plan is approved, initiating a first communication session between the flight control platform and a flight control unit of the drone to permit remote piloting of the drone. Disclosed example methods further include, in response to receiving the message from the flight control platform indicating the flight plan is approved, initiating a second communication session to exchange multimedia data between the flight control platform and a drone observation platform separate from the flight control platform.

The information processing device comprising an own aircraft information acquisition unit that acquires condition information regarding the condition of a target aircraft, a path acquisition unit that acquires a path that the target aircraft may follow, a related information acquisition unit that acquires related information regarding the path based on the condition information, and an output unit that outputs output information based on the related information, is capable of outputting information useful for flying aircraft.

Smart surveillance data processing systems support safe uncrewed aircraft system (UAS) or uncrewed surface vessels/vehicles operations where remote pilots are operating their uncrewed aircraft beyond visual line of sight (BVLOS) or near controlled areas, by providing: (i) real-time situational awareness in dense crewed aircraft and uncrewed drone environments while providing automated detection and alerting of intruders to remote pilots in command; (ii) surveillance network performance assessments through radar and ADS-B quantifiable measures; (iii) detection and alerting of any appreciable degradation of surveillance sensor performance, allowing remote pilots to suspend or alter operations to ensure safety; (iv), standardized airspace reporting including traffic patterns; (v) certification of portions of the airspace where the surveillance network is capable of meeting a minimum standard; (vi) assessment and reporting of drone compliance and non-compliance with UAS operating regulations.

A method for processing data generated by an event management device determining mission adaptation suggestions from current or future mission data sources, the method comprising the following steps of: receiving at least one suggestion comprising an item of information and a datum related to its construction; generating a notification for each received suggestion; storing the notification in a notifications memory. The method further comprises at least one iteration of the following steps: applying a classification operation to the notification; applying processing to the notification as a function of the classification operation, the processing comprising a step of rendering the notification on a Human-Machine interface in response to a display condition, the rendering using a display form and display dynamics.