Systems, methods, apparatuses, and computer program products for deploying an unmanned vehicle base station (BS) are provided. One method may include receiving an indication from at least one device of its capability to switch to a temporary cell of an unmanned vehicle base station (BS), and determining, based on knowledge of locations on a planned path of the unmanned vehicle base station (BS), which of the at least one device is located within coverage of one of the locations on the planned path. The method may then include configuring discontinuous reception cycles or Power-Saving Mode (PSM) of the at least one device so that the at least one device is awake when the unmanned vehicle base station (BS) establishes the temporary cell.

A method for supervising an air traffic tracking system, in a current situation of the tracking system as defined by a position and a speed vector relating to at least one aircraft is provided. The method comprises a step of determining performance indicator values representing the current situation. The method comprising the steps of: determining an operating feature of the tracking system for the current situation on the basis of the performance indicator values; if the operating feature is representative of an operating abnormality of the tracking system, determining at least one performance indicator corresponding to the operating abnormality, and determining values of the at least one performance indicator corresponding to normal operation; determining at least one quality of service measure of the tracking system for the current situation based on the performance indicator values; if the at least one quality of service measure is representative of a degradation in the quality of service, determining at least one performance indicator corresponding to the degradation in the quality of service; executing at least one evaluation process associated with the at least one performance indicator corresponding to the operating abnormality and/or to the degradation in the quality of service.

A method and a device for determining emergency trajectories. A method and a device for operating an automated vehicle are also described.

A communication system includes a traffic relay (TR) device for locating unmanned traffic in a controlled airspace. The TR device comprises one or more processors configured to perform the step of receive a status message from an unmanned aerial vehicle (UAV). The status message provides identification and location information of the UAV. The one or more processors are also configured to perform the step of generate a warning message for communication to at least one manned aerial vehicle (MAV) or a manned traffic manager (MTM) device that is communicatively connected to the at least one MAV. The warning message is based on a comparison of the location of the UAV to a designated airspace.

An example system for flying to a target location is provided, comprising a parent aerial vehicle and at least one child vehicle releasably coupled to the parent vehicle. The parent vehicle is configured to transport the at least one child aerial vehicle to a region containing a target location, uncouple from the at least one child aerial vehicle, and transmit information to the at least one child aerial vehicle relevant to operation of the child aerial vehicle. The child aerial vehicle comprises at least one sensor for surveillance at the target location.

A vehicle control function, UCF, and a method for the UCF that receives from a traffic management function, USS/UTM, a first positioning request message comprising a vehicle system, UAV, identity and coordinates of interest, determines with the USS/UTM a positioning configuration for the coordinates of interest, sends to a Location Server a second positioning request message comprising the UAV identity, UAV positioning configuration, receives positioning information for the UAV from the Location Server, and sends to the USS/UTM a positioning report message comprising the UAV identity and the positioning information.

A flight vehicle is allowed to safely fly even in a wireless communication unavailable area or the like where the flight vehicle cannot report its own location. Control is performed to limit the flight vehicles that enter exclusive controlled airspace including an area where the flight vehicles cannot report their own locations. In a case where the controlling control unit receives an entry application from one of the flight vehicles that seeks to enter the exclusive controlled airspace, the controlling control unit transmits entry permission to the one of the flight vehicles when none of the flight vehicles other than the one of the flight vehicles has entered the exclusive controlled airspace. Furthermore, in this case, for example, when any of the flight vehicles other than the one of the flight vehicles has entered the exclusive controlled airspace, a standby instruction is transmitted to the one of the flight vehicles.

Methods, devices, and systems for aircraft identification are described herein. In some examples, one or more embodiments include a computing device comprising a memory and a processor to execute instructions stored in the memory to simulate virtual light detection and ranging (Lidar) sensor data for a three-dimensional (3D) model of an aircraft type to generate a first point cloud corresponding to the 3D model of the aircraft type, generate a classification model utilizing the simulated virtual Lidar sensor data of the 3D model of the aircraft type, and identify a type and/or sub-type of an incoming aircraft at an airport by receiving, from a Lidar sensor at the airport, Lidar sensor data for the incoming aircraft, generating a second point cloud corresponding to the incoming aircraft utilizing the Lidar sensor data for the incoming aircraft, and classifying the second point cloud corresponding to the incoming aircraft using the classification model.

A vehicle connectivity and communication device includes at least one transmitter/receiver for establishing and maintaining communications with a system for controlling and/or monitoring vehicles and/or traffic over at least two different communications infrastructures, at least one sensor for measuring and reporting a performance characteristic of communication over the different communications infrastructures, and a controller for selecting an active communications infrastructure based on the measured performance characteristic.

A method for improving wireless communication for a drone swarm, the method comprising, at a computing system, receiving, from a plurality of drones of a drone swarm, data comprising radio frequency signal characteristics detected by the plurality of drones; generating a model of a radio frequency environment for the drone swarm based on the data received from the plurality of drones; and controlling at least one wireless communication system to improve wireless communication for the drone swarm based on the model of the radio frequency environment.