A response system may be provided. The response system may include an autonomous drone. The drone may include a processor, a memory in communication with the processor, and a drone sensor. The processor may be programmed to receive the deployment request from a security system, navigate to the one or more zones of the coverage area included in the deployment request, collect drone sensor data of the one or more zones of the coverage area using the at least one drone sensor, determine that an incident has occurred, and/or transmit the collected drone sensor data and incident verification to the security system, wherein, in response to receiving the collected drone sensor data and incident verification, the security system is configured to generate a command for responding to the incident.

A response system may be provided. The response system may include an autonomous drone. The drone may include a processor, a memory in communication with the processor, and a drone sensor. The processor may be programmed to receive the deployment request from a security system, navigate to the one or more zones of the coverage area included in the deployment request, collect drone sensor data of the one or more zones of the coverage area using the at least one drone sensor, determine that an incident has occurred, and/or transmit the collected drone sensor data and incident verification to the security system, wherein, in response to receiving the collected drone sensor data and incident verification, the security system is configured to generate a command for responding to the incident.

A method for controlling an autonomous vehicle fleet, including obtaining, by a fleet controller, from a master schedule, a mission for a vehicle of a fleet of autonomous vehicles, where the mission is associated with a mission entry of the master schedule, generating vehicle commands according to mission parameters associated with the mission, maintaining a persistent connection with the vehicle, sending the vehicle commands to the vehicle using the connection, the vehicle commands causing the vehicle to execute the mission under control of the fleet controller, and monitoring operation of the vehicle during performance of the mission.

Network-assisted DAA for AUEs is described. An apparatus is configured to establish a connection with a mobile network. The apparatus is configured to provide, for a first network entity of the mobile network, a capability indication of the AUE for support of NWDAA services. The apparatus is configured to communicate, with a second network entity of the mobile network, information associated with the NWDAA services. Another apparatus is configured to obtain local awareness information associated with an AUE based on an indication of support associated with the AUE for NWDAA services. The apparatus is configured to identify a confliction condition, associated with the NWDAA services, for the AUE based on the local awareness information. The apparatus is configured to communicate, with the AUE via a mobile network associated with the at least one network entity, information associated with the NWDAA services.

Network-assisted DAA for AUEs is described. An apparatus is configured to establish a connection with a mobile network. The apparatus is configured to provide, for a first network entity of the mobile network, a capability indication of the AUE for support of NWDAA services. The apparatus is configured to communicate, with a second network entity of the mobile network, information associated with the NWDAA services. Another apparatus is configured to obtain local awareness information associated with an AUE based on an indication of support associated with the AUE for NWDAA services. The apparatus is configured to identify a confliction condition, associated with the NWDAA services, for the AUE based on the local awareness information. The apparatus is configured to communicate, with the AUE via a mobile network associated with the at least one network entity, information associated with the NWDAA services.

Aircraft flight operations datalink for preparing an aircraft for flight, by a particular pilot (crew) for a particular flight plan via a portable computing device. The aircraft flight operations datalink includes a wireless data link; computer processor; data bus; an association with a flight sensor for collecting aircraft position, weather, traffic, terrain, aircraft systems status, aircraft flight envelope parameters, pilot (crew) status/condition; a display system; a ground-to-air data link; and a database of aircraft and pilot data; a flight plan; and flight conditions. In flight operations, the datalink may be utilized to relieve a pilot (crew) from performing tasks necessary to mitigate an emergency or reduce a flight operation urgency.

Aircraft flight operations datalink for preparing an aircraft for flight, by a particular pilot (crew) for a particular flight plan via a portable computing device. The aircraft flight operations datalink includes a wireless data link; computer processor; data bus; an association with a flight sensor for collecting aircraft position, weather, traffic, terrain, aircraft systems status, aircraft flight envelope parameters, pilot (crew) status/condition; a display system; a ground-to-air data link; and a database of aircraft and pilot data; a flight plan; and flight conditions. In flight operations, the datalink may be utilized to relieve a pilot (crew) from performing tasks necessary to mitigate an emergency or reduce a flight operation urgency.

A method for an Unmanned Aerial Vehicle, UAV, for generating a temporary flight-plan for a region is provided. The method includes determining whether any air traffic control station is emitting a flight-plan for the region. If it is determined that no air traffic control station is emitting a flight-plan for the region, the method further includes determining a score for the UAV based on properties of the UAV and receiving scores from other UAVs within the region. Additionally, the method includes determining whether the UAV is a master UAV or a slave UAV for generating the temporary flight-plan based on the calculated score for the UAV and the received scores from the other UAVs. If it is determined that the UAV is a master UAV, the method includes performing a first task in generating the temporary flight-plan.

Unmanned Aerial Vehicles also known as UAVs or Drones, either autonomous or remotely piloted, are classified as drones by the US Federal Aviation Administration (FAA) as weighing under 212 pounds. The system described herein details Autonomous Flight Vehicles (AFV) which weigh over 212 pounds but less than 1,320 pounds which may require either a new classification or a classification such as Sport Light Aircraft, but without the requirement of a pilot due to the safe autonomous flight system such as the Safe Temporal Vector Integration Engine or STeVIE. Safe Autonomous Light Aircraft (SALA) are useful as drone carriers, large scale air package or cargo transport, and even human transport depending on the total lift capability of the platform.

Embodiments relate to an aircraft control router for an aircraft. The aircraft control router may include a command processing module, sensor validation module, aircraft state estimation module, and control laws module. The command processing module may be configured to generate aircraft trajectory values based on received aircraft control inputs. The sensor validation module may be configured to validate sensor signals generated by sensors of the aircraft. The aircraft state estimation module may be configured to determine an estimated aircraft state of the aircraft based on the validated sensor signals. The control laws module may be configured to generate actuator commands for actuators of the aircraft to adjust control surfaces of the aircraft, where the generated actuator commands are based on aircraft trajectory values, validated sensor signals, and an estimated aircraft state. The aircraft control router may transmit the generated actuator commands to actuators of the aircraft.