Method and systems for situational awareness are disclosed. An example method includes receiving a first set of sensor data from a plurality of internal data sources that describes geospatial locations of objects within an airspace. The method also includes receiving event data from an external data source over a network describing publicly available information affecting the airspace. The method also includes receiving a second set of sensor data from another external data source operated by a user that describes the geospatial location of a user-operated object. The method also includes generating object metadata based on the first and second sets of sensor data and the event data. The method also includes streaming at least a subset of the object metadata to the computing device of the user. The object metadata is processed to generate a real-time three-dimensional rendering of the airspace, including the objects and the user-operated object.

Systems, methods, and devices for automatic signal detection in an RF environment are disclosed. A sensor device in a nodal network comprises at least one RF receiver, a generator engine, and an analyzer engine. The at least one RF receiver measures power levels in the RF environment and generates FFT data based on power level data. The generator engine calculates a power distribution by frequency of the RF environment in real time or near real time, including a first derivative and a second derivative of the FFT data. The analyzer engine creates a baseline based on statistical calculations of the power levels measured in the RF environment for a predetermined period of time, and identifies at least one signal based on the first derivative and the second derivative of the FFT data in at least one conflict situation from comparing live power distribution to the baseline of the RF environment.

A method of detecting conflicts between aircraft passing through managed airspace, and resolving the detected conflicts strategically. The method may include obtaining intended trajectories of aircraft through the airspace, detecting conflicts in the intended trajectories, forming a set of the conflicted aircraft, calculating one or more revised trajectories for the conflicted aircraft such that the conflicts are resolved, and advising the conflicted aircraft subject to revised trajectories of the revised trajectories.

This disclosure is directed to an automated unmanned aerial vehicle (UAV) self-identification system, devices, and techniques pertaining to the automated identification of individual UAVs operating within an airspace via a mesh communication network, individual UAVs and a central authority representing nodes of the mesh network. The system may detect nearby UAVs present within a UAV's airspace. Nearby UAVs may self-identify or be identified via correlation with one or more features detected by the UAV. The UAV may validate identifying information using a dynamic validation policy. Data collected by the UAV may be stored in a local mesh database and distributed to individual nodes of the mesh network and merged into a common central mesh database for distribution to individual nodes of the mesh network. UAVs on the mesh network utilize local and central mesh database information for self-identification and to maintain a dynamic flight plan.

Methods, devices, and systems of various embodiments are disclosed for managing an unmanned aerial vehicle (UAV) charging station having a docking terminal. In various embodiments, a priority of a first UAV and a second UAV may be determined for using the docking terminal when a docking request is received from the second UAV while the first UAV occupies the docking terminal. In some embodiments, the priorities of the first and second UAVs may be based on an available power level of each of the first and second UAVs. The first UAV may be instructed to undock from the docking terminal in response to determining that the second UAV has a higher priority.

Systems, methods, and devices are provided for generating flight restriction zones associated with flight response measures. The flight restriction zones may be generated with one or more flight restriction strips. Flight response measures for an unmanned aerial vehicle (UAV) may be directed based on a location and/or movement characteristic of the UAV relative to the one or more flight restriction strips. Different flight-response measures may be taken based on various parameters.

One embodiment provides a method comprising receiving a flight plan request for a drone. The flight plan request comprises a drone identity, departure information, and arrival information. The method further comprises constructing a modified flight plan for the drone based on the flight plan request, wherein the modified flight plan represents an approved, congestion reducing, and executable flight plan for the drone, and the modified flight plan comprises a sequence of four-dimensional (4D) cells representing a planned flight path for the drone. For each 4D cell of the modified flight plan, the method further comprises attempting to place an exclusive lock on behalf of the drone on the 4D cell, and in response to a failure to place the exclusive lock on behalf of the drone on the 4D cell, rerouting the modified flight plan around the 4D cell to a random neighboring 4D cell.

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.

Systems, methods, and devices are provided for providing flight response to flight-restricted regions. The location of an unmanned aerial vehicle (UAV) may be compared with a location of a flight-restricted region. If needed a flight-response measure may be taken by the UAV to prevent the UAV from flying in a no-fly zone. Different flight-response measures may be taken based on the distance between the UAV and the flight-restricted region and the rules of a jurisdiction within which the UAV falls.

A method, computing system and computer program product are provided to monitor compliance with a non-transgression zone between aircraft approach corridors, thereby facilitating simultaneous instrument approaches. In the context of a method, a predicted path of an aircraft is determined during a flight based upon at least a representation of a roll angle of the aircraft and a cross-track component of the velocity of the aircraft. The method also includes identifying an instance in which the predicted path of the aircraft during the flight intersects a non-transgression zone. The method further includes causing an alert to be issued in the instance in which the predicted path of the aircraft during the flight intersects the non-transgression zone.