A system may include a display and a processor. The processor may be configured to: obtain aircraft data associated with an aircraft; obtain or generate storm top data, the storm top data including information associated with storm top altitudes and storm top locations; generate aircraft relative storm top data; generate an aircraft relative storm top image based at least on the aircraft relative storm top data, wherein the aircraft relative storm top image depicts a view of weather in front of the aircraft, wherein the aircraft relative storm top image conveys information associated with a difference between at least some of the storm top altitudes and an altitude of the aircraft; and output the aircraft relative storm top image as graphical data.

An autonomous base station for unmanned aerial vehicles (‘UAVs’) is disclosed, which includes a landing surface for a UAV, configured with at least one power transfer bus for supplying power to a power source of a UAV thereon. The base station further includes a networking module and data processing means operably connected to, and configured to control, the power transfer bus and the networking module. The data processing means is operably connected to the UAV through the networking module, and further configured to receive, store and process data from the UAV or another. The base station further includes a power supply operably connected to the or each power transfer bus, the or each networking module and the data processing means. A network of at least two such base stations is also disclosed, for sensing, modelling and monitoring an environment with UAVs.

A method comprises receiving a route of an aircraft, identifying a plurality of service providers to provide data services for the aircraft based on the route, receiving data from the plurality of service providers associated with the data services, transmitting the data received from the plurality of service providers to the aircraft, determining a total amount associated with all of the data services provided by the plurality of service providers, and transmitting information on the total amount associated with all of the data services provided by the plurality of service providers.

A system for exploiting a transmitted signal from an aircraft or drone to determine parameters of the aircraft or drone's motion. The system includes at least one antenna for receiving the transmitted signal from the aircraft, and an analysis system for analyzing the transmitted signal as compared with stored characteristic anomalies associated with any of the aircraft or drone, and the at least one antenna, for confirming parameters of the aircraft or drone's motion.

Locating, aiding, and communicating with users and personnel in emergency situations by traversing a defined path utilizing an unmanned vehicle, detecting a user within a threshold distance of the defined path, logging a geolocation of the user within the unmanned vehicle, and determining whether to dispatch assistance to the user.

Disclosed are methods and systems for providing audible flight information to an operator of an aircraft. A method, for example, may include receiving flight information detected by one or more sensors positioned on the aircraft, causing an image to be displayed on a display device, the image including a plurality of text items corresponding to the flight information, receiving a first operator selection indicative of one or more of the text items, parsing the one or more text items to generate a set of intermediate data, synthesizing audio data based on the intermediate data, and causing audible content corresponding to the audio data to be emitted by one or more audio emitting devices, wherein the audible content includes speech corresponding to the flight information.

Systems and corresponding methods are provided for moving object predictive locating, reporting, and alerting. This method includes receiving moving object data corresponding to a moving object; receiving sensor data from a sensor and merging the received moving object data and the received sensor data into a set of merged data. The example method further includes based on the set of merged data, automatically determining one or more of a predicted location or range of locations for the moving object, a potential path of travel for the moving object, an alert concerning the moving object, and providing the alert. The automatically determining may be further based on one or more historical traits concerning the object, and the geographic medium the object is moving through. The geographic medium may include one or more of terrain, air, water, and space. The object may be a soldier, vehicle, drone, or ballistic.

A population density map of a region is generated by dividing the region into cells and allocating a population of the region only to the cells that are accessible to people, or are believed to be populated. Each of the cells is classified based on one or more ground features of the cells, and an adjustment factor for each of the cells is determined based at least in part on the classifications. Equal shares of the population of the region are allocated to each of the cells that is accessible or populated, and the equal shares are multiplied by the adjustment factors determined for the respective ones of the cells to calculate a population for each of such cells.

Navigation beacons may be trained to receive signals of opportunity from one or more vehicles, to recognize their own position based on such signals, and to transmit information regarding their own position to one or more other vehicles accordingly. The navigation beacons may be of small size and feature a basic construction including one or more transceivers, power sources and the like, and may communicate via a Bluetooth® Low Energy, Ultra Wideband or long-range low-power wireless standard, or any other standard. The navigation beacons may be installed in any location, preferably being mounted to one or more existing fixed structures or facilities (e.g., transportation structures or facilities), and may operate in active and/or passive modes when learning their positions or servicing position information to one or more remote devices.

Systems and vehicle are provided. A vehicle system for a vehicle includes: a trajectory selection module configured to select a potential vehicle path relative to a current vehicle movement condition; a trajectory movement condition module configured to estimate a modeled movement condition of the vehicle along the potential vehicle path; a limit comparison module configured to determine whether the modeled movement condition violates vehicle limits; and a violation indicator module configured to generate an indication of impending violation.