Abstract: A method for managing an Unmanned Aerial Vehicle (UAV) is described. The method includes determining, by a Network Coverage and Policy Server (NCPS), an airspace; determining, by the NCPS, a granularity that indicates sizes for volume elements in a set of volume elements that logically divide the airspace; determining, by the NCPS, network policy information for volume elements in the set of volume elements to produce one or more maps; and transferring, by the NCPS, the one or more maps to a UAV Traffic Management (UTM) system.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to improve aircraft traffic control. An example apparatus includes a network interface to obtain air route traffic (ART) data associated with aircraft flying in airspace sectors during a first time period, a database controller to generate a first database entry by mapping extracted portions of the ART data to a first database entry field of the first database entry, and ART sector services to execute machine learning (ML) models using database entries to generate first aircraft traffic counts of the airspace sectors during the first time period, in response to selecting a first ML model of the ML models based on the first aircraft traffic counts, execute the first ML model to generate second aircraft traffic counts during a second time period, and transmit the second aircraft traffic counts to a computing device to cause an aircraft flight plan adjustment.

Abstract: A method and system for providing cost data via an operating cost app for a flight associated with a flight plan, by a computing device including: obtaining cost data of the flight plan by executing the operating cost app to implement an operating cost integrator application integrated with the operating cost app to interface with a plurality of service providers for retrieving operating cost data of the flight plan from each of the service providers; obtaining, by the at least one processor, real-time aircraft performance parameters affecting the actual cost of the flight including: a landing time and a takeoff time; determining an actual cost of the flight by using software solutions of the operating cost app, and by calculating ground charges at the airport derived from the sensed data by the operating cost app and presenting the actual cost of the ground charge, via a display device for displaying.

Abstract: A method comprises receiving an ILS transmission signal in an onboard ILS receiver during an aircraft approach, and receiving a GNSS position signal in an onboard GNSS augmentation system receiver during the approach. The method determines a first set of flight path deviations based on the ILS transmission signal, and a second set of flight path deviations based on the GNSS position signal. The first set of flight path deviations are sent to a first complementary filter, which outputs a first filtered deviations signal. The second set of flight path deviations is sent to a second complementary filter, which outputs a second filtered deviations signal. A scale factor is applied to the first filtered deviations signal or the second filtered deviations signal, such that the filtered deviations signals are normalized to the same scale. The method combines the normalized filtered deviations signals to produce a hybrid signal for further processing.

Abstract: Methods and systems are provided for assisting operation of a vehicle deviating from a desired manner of operation, such as an aircraft deviating from a planned trajectory. One method involves identifying a current aircraft altitude, identifying a current aircraft configuration, determining a recommended flight path from the current aircraft altitude for satisfying an upcoming constraint associated with a reference descent strategy based at least in part on the current aircraft configuration in response to a deviation between the current aircraft altitude a target altitude according to the reference descent strategy, and providing an output influenced by the recommended flight path. The recommended flight path includes a recommended vertical profile and a recommended speed profile, and the recommended flight path is configured to vary at least one of a kinetic energy or a potential energy of the aircraft along the recommended flight path en route to the upcoming constraint.

Abstract: Methods, systems, devices and apparatuses for an infrastructure planning tool. The infrastructure planning tool includes a navigation unit. The navigation unit is configured to determine a location of a vehicle. The infrastructure planning tool includes a processor. The processor is configured to determine a route within an off-road real property to traverse by the vehicle using the location of the vehicle over a period of time. The processor is configured to determine or estimate an amount of energy used by the vehicle to traverse the route. The processor is configured to determine a location along the route to place critical based on the amount of energy used. The processor is configured to render, on a display, a graphical representation that includes the route, the off-road real property and the location along the route to place the critical infrastructure.

Abstract: A sensor data processing and control system acquires data from multiple, disparate sources on a worksite. A plurality of different data pipes are generated for different action systems. The action systems receive data through a corresponding data pipe and generate action signals, based upon aggregated and fused data received through the data pipe.

Abstract: A system and method are disclosed. The system includes a computer readable medium having non-transitory computer readable program code embodied therein for risk-aware contingency flight re-planning. The computer readable instructions include instructions, which when executed by a computer device or processors, perform and direct the step of receiving a preplanned route, receiving a risk tolerance level from a decision maker, receiving input from a database, receiving an indication of an en route risk to the vehicle, determining an association of an exposure cost with at least one of a plurality of 4-D paths, ranking the plurality of 4-D paths based on the association of the exposure cost, and displaying a portion of the plurality of 4-D paths to the decision maker.

Abstract: A system for predicting the timing for ownship clearance instructions is provided. The system is configured to: collect communications between air traffic control (ATC) and other aerial vehicles; group the collected communications; derive an average time between successive instructions from ATC to an aerial vehicle; derive an average time for a following instruction in a specific time interval; generate a clearance instruction prediction model that is configured to predict a time by which an ownship will receive a subsequence clearance instruction, based on the average time between successive instructions from ATC to an aerial vehicle, the average time for a following instruction in a specific time interval, and the clearances provided by ATC to other aerial vehicles; predict, using the clearance instruction prediction model, an expected time for a next clearance instruction from ATC; and cause the predicted time for the next clearance instruction to be displayed on a display device.

Abstract: Provided is a flight optimization system and a method of flight optimization that includes generating flight data via an onboard aircraft system, performing a pre-flight cycle by determining an updated tail assignment plan before departure based on the flight data received in real-time from the onboard aircraft system, performing an in-flight cycle by collating and processing in-flight data and external data via an onboard network server, and transmitting the processed data to an electronic flight bag in real-time and performing flight path optimization via a path optimizer application of the electronic flight bag to be accessed by flight personnel, and performing a post-flight cycle by transmitting post-flight data to an event measurement system along with operational data to be processed and sent to a fleet support system and a maintenance system for generating updated flight plans and maintenance plans which are data-driven.

Abstract: Dangerous road events and conditions may be detected and responded to. A first report is received including a first location of a first vehicle and a first acceleration associated with the first vehicle beyond a threshold amount. A second report is received including a second location of a second vehicle and a second acceleration associated with the second vehicle beyond the threshold amount. In response to determining that the first and second reports meet a maximum relative time constraint and a maximum relative location constraint: (i) transmitting a notification to a dispatch console indicative of a potential dangerous road event near the first and second locations, (ii) transmitting a dispatch request to a response vehicle to respond to the potential dangerous road event near the first and second locations, or (iii) storing an indication of the potential dangerous road event.

Abstract: A system for aircraft recommendation for an electric aircraft is presented. The system includes a computing device, wherein the computing device is configured to, receive an aircraft datum, receive a flight plan, generate a model of at least a flight phase as a function of the aircraft datum and the flight plan, generate an aircraft recommendation as a function of the flight plan and aircraft datum, wherein generating the aircraft recommendation further comprise identifying a tunable parameter of the at least a flight phase, tuning the tunable parameter as a function of the model of the at least a flight phase and at least an objective constraint, and generating the aircraft recommendation as a function of the tuning. The system further includes a user device, wherein the user device is configured to display the aircraft recommendation.

Abstract: A novel roof-top autonomous vehicle control system for converting a non-autonomous vehicle into an autonomous vehicle includes a weatherproof housing that removably attaches to the roof of a host vehicle. The housing supports modular attachment of various sensors, receivers, computers, and other electrical components that can be installed, removed, and/or interchanged without disrupting the initial calibration thereof. In a particular embodiment, various internal electrical components of the system are mounted on a tray which can be mounted in, and removed from, the housing without disrupting the initial calibration of the various sensors. In a more particular embodiment, the housing includes a plurality of removable panels and windows that provide access to the inside of the housing.

Abstract: Methods, apparatuses, systems, and computer program products are disclosed for determining a flight plan. An example method includes determining one or more potential flight plans from an originating location to a destination location, each potential flight plan comprising a different combination of one or more flight plan segments forming a potential flight plan from the originating location to the destination location. The method further includes calculating a projected cost for each of the one or more potential flight plans wherein the projected cost is based at least in part on dynamic cost data, dynamic navigation data, or a combination thereof. The method further includes determining an optimal flight plan from among the one or more potential flight plans, the optimal flight plan having a lowest aggregate cost of the calculated projected costs associated with each of the one or more potential flight plans.

Abstract: In some embodiments, techniques are provided for verifying operability of an automatic dependent surveillance-broadcast (ADS-B) receiver included in a first unmanned aerial vehicle (UAV), which includes receiving ADS-B data representative of ADS-B messages broadcast by traffic within a reception range of the ADS-B receiver during a first period of time, estimating a traffic environment for a service area spanning, at least in part, a first operating area of the first UAV during the first period of time, determining an expected observed traffic of the first UAV during the first period of time based on the estimated traffic environment, and verifying operability of the ADS-B receiver of the first UAV based on a comparison between the expected observed traffic of the first UAV and the traffic associated with the ADS-B data received by the ADS-B receiver of the first UAV.

Abstract: A method and apparatus for recording flight information of aircraft, such as position, mass, or type, in order to record the position of a wake turbulence of the aircraft. Weather information can be recorded as affecting the wake turbulence. Such information can be provided into a model or algorithm to determine a path of a wake turbulence. An aircraft on a flight path to encounter the wake turbulence can determine a vortex magnitude of the wake turbulence and determine if an advisory alert needs to be provided if the vortex magnitude satisfies a predetermined threshold.

Abstract: Presented herein are embodiments of a multimodal Recurrent Neural Network (m-RNN) model for generating novel image captions. In embodiments, it directly models the probability distribution of generating a word given a previous word or words and an image, and image captions are generated according to this distribution. In embodiments, the model comprises two sub-networks: a deep recurrent neural network for sentences and a deep convolutional network for images. In embodiments, these two sub-networks interact with each other in a multimodal layer to form the whole m-RNN model. The effectiveness of an embodiment of model was validated on four benchmark datasets, and it outperformed the state-of-the-art methods. In embodiments, the m-RNN model may also be applied to retrieval tasks for retrieving images or captions.

Abstract: A distributed airborne acoustic anti-drone intelligence system (DAAADS) which senses an unmanned aerial vehicle (UAV) approaching a protected site, predicts trajectories of the UAV which intersect the protected site and identifies the type of the UAV. When at least one of the trajectories intersect the protected site, an alarm and predicted trajectories are transmitted to an air defense unit, which neutralizes the UAV. Debris generated by the neutralization is tracked and trajectories of the debris are predicted. When a trajectory of the debris is predicted to intersect with the protected site, an alert is transmitted to the protected site.

Abstract: System and method for determining distance in navigation of an electric aircraft is illustrated. The system and method comprise a sensor and a computing device. The sensor is configured to detect a surface and transmit at least a first signal and a first frequency and at least a second signal at a second frequency to a computing device, wherein the first signal and the second signal comprise a corresponding distance. The computing device is configured to receive a returned signal from the sensor, wherein the returned signal comprises an intermodulation product associated to the first signal and the second signal, detect an amplitude of the returned signal as a function of the frequency, identify a distance datum as a function of the amplitude and an amplitude threshold, determine an aircraft adjustment as a function of the distance datum, and transmit the distance datum and aircraft adjustment to a remote device.

Abstract: Systems and methods for lag optimization of pilot intervention is provided. A critical event may be identified while an electric aircraft is in an autopilot mode and operating primarily under autonomous functions; as a result, a flight controller of the system may switch from an autopilot mode to a manual mode, allowing pilot intervention. System made determine a lag duration as a function of the critical event and a phase of operation of the electric aircraft to determine a lag duration before pilot intervention occurs.