A system for facilitating navigation of an aircraft comprises one or more processors and a memory coupled to the processors. The memory stores data into a data store and program code that, when executed by the processors, causes the system to detect an infrared site signal indicating a site code transmitted by one or more infrared beacons that form a beacon network around a site. The site code represents a site. In response to detecting the infrared site signal, the system determines the site indicated by the site code. The system searches for two or more infrared beacon signals and detects the two or more infrared beacon signals. In response to detecting the two or more infrared beacon signals, the system determines a location of the aircraft based on the two or more infrared beacon signals.

A system and method for deploying multiple unmanned aerial vehicles (UAVs) from a single landing site is presented. The method includes: generating a hovering perimeter for a landing site, the hovering perimeter including a plurality of hovering points and a plurality of approach vectors, each hovering point having spatial coordinates and being uniquely associated with one of the plurality of approach vectors, wherein a flight path based on a first approach vector of the plurality of approach vectors does not overlap with a flight path based on a second approach vector of the plurality of approach vectors; and configuring a first UAV of a plurality of UAVs to: navigate to a first hovering point of the plurality of hovering points; hover at the first hovering point; and navigate from the first hovering point to the landing site when the first UAV is authorized to land at the landing site.

An unmanned aerial vehicle (UAV) is disclosed. The UAV comprises a body; a propulsion unit; a controller; and at least one adjustable camera unit. In some embodiments, each adjustable camera unit comprises, a camera; and a gimbal, mounting the camera, and configured to move the field of view (FOV) of the camera in at least two axes. In some embodiments, the controller is configured to: continuously receive a stream of images from the at least one camera; identify a tilted target in the stream of images; control the propulsion unit to approach the tilted target; and simultaneously control at least one gimble to rotate a corresponding camera such that the tilted target is continuously being identified in the stream of images.

A system may be configured to display a view of an airport moving map (AMM) depicting a location of an aircraft relative to a runway, the runway, a maximum runway overrun awareness and alerting system (ROAAS) model distance (RMD) indicator on the runway, a nominal model distance (NMD) indicator on the runway, and a ROAAS runway end indicator.

A system may include a display and at least one processor. The at least one processor may be configured to: obtain a Notice to Air Mission (NOTAM); extract information from the NOTAM, the information including information of a runway displaced threshold of the runway and/or a landing distance available on the runway; generate a NOTAM file including the information; update runway overrun awareness and alerting system (ROAAS) data to include a current runway displaced threshold value and a current landing distance available value based on the information of the NOTAM file; generate a ROAAS image, wherein the ROAAS image graphically and/or textually depicts a view indicative of the current runway displaced threshold value and the current landing distance available value; and output the ROAAS image to the display.

Example aircraft intent processors are described herein that can be used both for the prediction of an aircraft's trajectory from aircraft intent, and the execution of aircraft intent for controlling the aircraft. An example aircraft intent processor includes an aircraft intent input to receive aircraft intent data representative of aircraft intent instructions, an aircraft state input to receive state data representative of a state of the aircraft, and a residual output. The aircraft intent processor is to calculate residual data representative of an error between a state of the aircraft commanded by the received aircraft intent data and the state of the aircraft expressed by received state data, and output the residual data via the residual output.

A system and method for providing the information contained in instrument procedure charts in a more intuitive and easier to comprehend manner is provided. The provided enhanced instrument procedure visualization system displays a dynamic three-dimensional view of a selected instrument procedure, and incorporates time-relevant information from weather and traffic sources. The provided enhanced instrument procedure visualization system further allows a pilot to scroll forward and backward in time to review and study the complete instrument procedure.

A thorough understanding of aircraft operations counts at airports is helpful due to the use of those counts in the planning and design process and in the allocation of funds for improvement. Methods of counting aircraft operations at airports lacking full-time personnel are typically based on conventional statistical sampling using relatively small sample sizes due to the inherent difficulty and expense of positioning acoustic or pneumatic counting devices at those airports for extended periods of time. Such methods are often inaccurate because of the lack of sufficient representative samples. A means of counting operations using a combination of Mode C, Mode S, and ADS-B extended squitter aircraft transponder data received using a 1090 MHz software-defined radio system is disclosed herein. The increasing presence of such signals in both controlled and uncontrolled airspace around airports, due to a recent federal mandate that all aircraft in certain types of controlled airspace be equipped with ADS-B Out capability by 2020, lends itself to the measurement of operational parameters associated with the related aircraft. The 1090 MHz signals are received passively; i.e., there is no interrogation from the field-deployed device. The resulting sample counts are typically larger than those determined through conventional data collection procedures. In one aspect, these sample counts are applied to a Bayesian statistical estimation technique, which produces an improved estimate of operations.

Systems and methods according to present principles provide a test architecture which is designed to support software and hardware testing in an automated environment. Systems and methods are described which include a functional definition and architecture of the test system including the host environment, host-user interface, test scripts, host-to-target communications, target test module, target test shell, target commands and other supporting aspects.

A remotely deployable network of multi-rotor aircraft and landing stations enable widespread use of multi-rotor aircraft in varied environments and application scenarios. A multi-rotor aircraft having modular components to facilitate a range of applications performs remote operations. Landing stations provide a power source to remote aircraft and facilitate semi-autonomous landing. A computing device facilitates use interaction with a network of multi-rotor aircraft and landing stations that together form a network for transmitting data concerning individual and regional aircraft operations.