An aircraft mission calculation system is configured to calculate an environmental benefit index. The system includes an aircraft trajectory calculation engine, able to calculate at least one potential mission trajectory between a geographic point of origin and a geographic point of destination. The aircraft trajectory calculation engine comprises an environmental benefit index calculation module, able to activate the calculation engine. The environmental benefit index calculation module is able to determine an environmental benefit index (GI) of the potential trajectory from the first amount of carbon dioxide (Q1(TR1)) produced on a first reference trajectory defining a fastest mission, the second amount of carbon dioxide produced on a second reference trajectory (Q2(TR2)), defining a mission minimizing the amount of carbon dioxide produced, and the potential amount of carbon dioxide produced on the potential trajectory.

A method for planning a vehicle trajectory is provided. The method comprises obtaining an edge map representation corresponding to one or more terrain images of a given area, and identifying a total number of edge pixels in each of a plurality of sub-regions of the edge map representation. The method further comprises determining a measurement probability density function (PDF) for each of the sub-regions based on the number of edge pixels with information content in each sub-region. The method then computes a trajectory cost for each of the sub-regions by dividing a user-selected scalar by a sum of: a user-selected value and the number of edge pixels with information content in each sub-region. Thereafter, the method selects a trajectory for navigation of a vehicle over the given area based on the trajectory cost for each of the sub-regions.

An aerial vehicle includes a communication unit configured to receive a wireless signal from a geo-fencing device, and a flight controller configured to generate one or more control signals that cause the aerial vehicle to operate in accordance with a set of flight regulations generated based on the wireless signal. The geo-fencing device is configured not for landing of the aerial vehicle. The set of flight regulations includes rules for controlling at least one of the aerial vehicle, a carrier carried by the aerial vehicle, or a payload of the aerial vehicle.

A computer implemented method of identifying anomalous flight data is provided. The method comprises: receiving a plurality of flight data units in a time series from each of a plurality of different flights, wherein each flight data unit comprises a value for each of a plurality of flight parameters at the same time point; mapping the flight data units as respective data points to a multi-dimensional space, wherein the dimensions of the multi-dimensional space comprise a dimension for each of the plurality of flight parameters; and identifying one or more anomalous flight data units in the received plurality of flight data units by applying a local outlier factor algorithm to the mapped flight data units. A method of maintaining an aircraft, a flight data analyzer, a computer program and a computer-readable storage medium is also provided.

Provided is a determination device that includes a usage plan acquisition unit that acquires a usage plan of a corridor formed for navigation of a drone, a storage unit that stores reservation information of the corridor, a calculation unit that calculates a determination parameter relating to congestion in the corridor corresponding to the usage plan by referring to the reservation information, a prediction unit that predicts a congestion status of the corridor according to the calculated determination parameter, a determination unit that generates determination information relating to availability of the corridor according to the predicted congestion status of the corridor, and an output unit that outputs the determination information relating to availability of the corridor.

An Unmanned Aerial Vehicle (UAV) payload includes an adaptive Software Defined Radio (SDR) interface that is configurable to communicate with two or more SDRs using two or more protocols, a UAV interface that is configured to communicate with the UAV and a control circuit connected to the adaptive SDR interface and to the UAV interface. The control circuit is configured to communicate with the adaptive SDR interface and with the UAV interface. The control circuit is configured to receive SDR data from the adaptive SDR interface, receive UAV flight data from the UAV interface and use the SDR data and the UAV flight data to generate Signal Intelligence (SIGINT) data regarding the one or more emitter.

Systems, computer readable medium and methods for navigation correction for excessive wind in an autonomous drone are disclosed. Excessive winds can be a particular problem for small autonomous drones as safety and retrieval of the autonomous drones is important and the autonomous drones often have limited thrust and batteries. Autonomous drones are disclosed that detect and correct flight plans when excessive winds are detected. The autonomous drone determines based on the severity of the excessive winds whether to return to a home position which is typically a position of a user of the autonomous drone or to land in place. If the excessive winds subside, then the autonomous drone returns to its original flight plan at the point where the autonomous drone was blown off course by the excessive winds. The autonomous drone detects excessive winds either directly by sensor data or inferentially by unanticipated movement of the autonomous drone.

Methods, devices, and systems for air traffic control (ATC) flight management are described herein. One device includes a memory, and a processor to execute executable instructions stored in the memory to receive airport information associated with an airport, generate, using the airport information, an ATC flight management analysis that includes an airport map showing locations of aircraft at the airport and a card panel including a number of flight cards, where each respective one of the number of flight cards corresponds to a different respective one of the aircraft at the airport, and a user interface to display the ATC flight management analysis in a single integrated display.

An object of the present disclosure is to provide a flight management apparatus capable of improving the safety of flying objects. In one example, a flight management apparatus (10) of the present disclosure includes a determination unit (12) configured to determine whether a specific space cell in a space is already reserved based on a reservation state about the specific space cell, when the flight management apparatus receives a request for permission to move to the specific space cell from a flying object; and a permission unit (13) configured to permit the movement to the specific space cell of the flying object when the determination unit determines the specific space cell is not reserved, and not to permit the movement to the specific space cell of the flying object when the determination unit determines the specific space cell is already reserved.

Systems and methods for creating a database of geofences and registering geofences, with each geofence in the database being associated with an IP address, preferably an IPv6 address. Each geofence is defined using at least one geographic designator, preferably real property boundaries. Entitlements can be associated with geofences relating to permissive and prohibitive activities within the geofences.