According to an aspect, a distributed package transport system includes unmanned aerial vehicles (UAVs), each of which is configured to transport packages within a geographic area and along a travel route. The system also includes UAV enclosures dispersed within the geographic area. The UAV enclosures include a number of cells, each of which provides a receptacle to temporarily house a UAV. At least one of the UAV enclosures is dynamically assigned to a location within the geographic area. Each of the UAV enclosures includes a computer processor and communication network interface and, for each of the UAVs in transit, the UAV enclosures communicate information specifying an origination point, drop off point, and return point amongst each other and coordinate to define, based on locations of the UAV enclosures and capacities of the UAV enclosures, a refined travel route including a subset of the UAV enclosures to serve as hops.

A flight management apparatus includes a condition information acquisition unit that acquires condition information including a weather condition for flight of a flight apparatus, the weather condition being associated with a position provided on a flight path or in a flight range in which the flight apparatus is scheduled to fly, a weather information acquisition unit that acquires weather information including weather at a current position at which the flight apparatus is positioned, or a scheduled position at which the flight apparatus is scheduled to be positioned, a determination unit that determines whether or not the weather satisfies the weather condition associated with the current position or the scheduled position in the condition information, and an output unit that outputs information corresponding to a determination result of the determination unit.

Disclosed are methods, systems, and non-transitory computer-readable medium for managing energy use in a vehicle. For instance, the method may include receiving forecasted data from a first external source, receiving real-time data corresponding to at least one weather parameter at a first location at a first time, and continuously determining whether to perform an adjustment to a control parameter of the vehicle by using a machine learning model that is based on the forecasted data for the at least one weather parameter, the real-time data for the at least one weather parameter, a battery condition of the vehicle, and/or an estimated amount of energy consumed by traveling along a first navigation path.

A method for assisting in a flight management of an aircraft calculates a local cost function CF(xi, hj) at various altitudes hj along a planned vertical reference flight trajectory over a discrete set of points P(xi, hj) which forms a two-dimensional grid in which the planned vertical reference flight trajectory varies, the local cost function CF(xi, hj) being calculated locally at each point P(xi, hj) according to aircraft data and environmental data predicted at said local point P(xi, hj). Then, for each point P(xi, hj) of the grid, the method determines a neighbourhood including the point P(xi, hj), and associates a colour K(xi, hj) therewith that is dependent on the value of the local cost function CF(xi, hj) using a predetermined bijective lookup transformation. Next, the method displays the coloured grid formed by the coloured neighbourhoods.

A system includes a plurality of aircrafts, each of which has an antenna for forming a communication area on the ground to provide a radio communication service to a user terminal in the communication area, and a management device for managing the plurality of aircrafts. The management device includes a signal transmitting unit that transmits a remote operation signal to an aircraft selected as the remote operation target from the plurality of aircrafts. Each of the plurality of aircrafts includes a remote operation flying control unit that, when an aircraft is selected as the remote operation target, causes the aircraft to fly based on the remote operation signal received from the management device, and a tuned flying control unit that, when the aircraft is not selected as the remote operation target, causes the aircraft to fly in tune with other aircraft selected as the remote operation target.

A mobile self-contained real-time storm and related events detection and tracking device utilizing a tunable multiple channel antenna array for multiple angle signal detection. High resolution data generated by movement of detected charged concentrations within a storm or pre-storm weather system is collected and displayed in real-time with bearing directional and distance alerts. Telemetric cloud-based network by multiple remote users to extend detection and enhanced detection and alerts generating capabilities. Mounting variations of multiple channel antenna array on varied mobile platforms allows for creation of regional detection and alert networks.

A control system includes at least one memory storing program code and at least one processor. The program code is configured to cause the at least one processor to estimate size of a short visibility airspace, based on a location of a first point at which an aircraft detects the short visibility airspace, a location of a second point at which the aircraft determines that the aircraft has entered the short visibility airspace, and sensing information acquired at the first point. The program code also causes the at least one processor to perform control to cause the aircraft to move to a safe airspace that is set based on the estimated size of the short visibility airspace when it is determined that flight continuation along a route passing through the short visibility airspace is impracticable.

A system and method for reliably and efficiently monitoring and arbitrating the performance of one or more UTM infrastructure systems are provided herein. The method for monitoring and arbitrating a plurality of UTM infrastructure networks involves monitoring and arbitrating a plurality of unmanned traffic management (UTM) infrastructure networks comprising integrating a UTM arbitration system between the plurality of UTM infrastructure networks, wherein the UTM arbitration system is operably configured to simultaneously monitor the UTM infrastructure networks; monitoring information and/or data associated with one or more UTM systems associated with the UTM infrastructure networks; detecting the presence or absence thereof of one or more inconsistencies in the data and/or information associated with the one or more UTM systems; and initiating a reconciliation activity in response to detecting the presence of at least one inconsistency in the data and/or information associated with the one or more UTM systems.

A system for an aircraft includes a user interface device and a controller. The controller is configured to receive a present location of the aircraft, a present location of one or more wind vortices, a strength of the one or more wind vortices, and a desired ending point of the aircraft. The desired ending point of the aircraft is received from the user interface device. The controller is configured to define an optimization problem, and determine a solution to the optimization problem. The solution to the optimization problem includes a flight path and steering angle values to achieve the flight path. The flight path results in a minimum time to reach the desired ending point. The controller is configured to cause the user interface device to display a map including the flight path.

A system and method for providing smart drone mailbox landing pads and charging stations is a component of a drone unmanned system service network. The drone unmanned system service network communicatively connects the smart drone mailbox landing pad and charging station, one or more autonomous drones, and one or more drone service function devices to provide autonomous drone package delivery over a communications network. The smart drone mailbox landing pad and charging station includes a processing node having a processor, memory, a storage device, and a network connection to one or more communications networks, a drone landing pad, an induced charging pad configured to recharge a battery within one of the one or more drones, one or more external webcams, weather equipment, and a package receiving container for accepting a delivered package, while using blockchain harvesting, mining, logging and recording, for the entire process where and as needed.