Abstract: An aerial vehicle is provided. The aerial vehicle can include a plurality of sensors mounted thereon, an avionics system configured to operate at least a portion of the aerial vehicle, and a machine vision controller in operative communication with the avionics system and the plurality of sensors. The machine vision controller is configured to perform a method. The method includes obtaining sensor data from at least one sensor of the plurality of sensors, determining performance data from the avionic system or an additional sensor of the plurality of sensors, processing the sensor data based on the performance data to compensate for movement of the unmanned aerial vehicle, identifying at least one geographic indicator based on processing the sensor data, and determining a geographic location of the aerial vehicle based on the at least one geographic indicator.

Abstract: A method 140 of assessing an operator emotional state 131 and sending an alert 144 based on the emotional state 131. The method 140 includes tracking 141 during a time period, using at least one sensor 103, 105, 106, 112, 117, one of an image sensor data, voice data or a biometric parameter of an operator. Determining 142, using a controller 120 that is operatively connected to at least one sensor 103, 105, 106, 112, 117, a probability of a likely emotional state 131 from a list of emotional states 131 of an operator based on one of the image sensor data, voice data or the biometric parameter. Comparing 143, using a processor, the probability of one of the likely emotional states 131 of the operator with a baseline emotional state 131 of the operator. Sending 144, using the controller 120, an alert if most likely emotional state deviates from the baseline emotional state by a predetermined threshold.

Abstract: A network switch includes a first port configured for communication with a first electric device and a second port configured for communication with a second electric device in a deterministic network. The network switch includes one or more processors configured to receive at the first port a communication packet associated with the first electric device and the second electric device, determine if the communication packet satisfies a plurality of protocol constraints, and in response to the communication packet satisfying the plurality of protocol constraints, input one or more message characteristics from the communication packet into a model associated with a first industrial process. The model is configured to output a process behavioral classification based on the one or more message characteristics. The one or more processors receive a process behavioral classification for the communication packet, and selectively generate a control action for the ICS based on the process behavioral classification.

Abstract: Systems, computer-implemented methods and/or computer program products that facilitate measuring weight and balance and optimizing center of gravity are provided. In one embodiment, a system 100 utilizes a processor 106 that executes computer implemented components stored in a memory 104. A compression component 108 calculates compression of landing gear struts based on height above ground of an aircraft. A gravity component 110 determines center of gravity based on differential compression of the landing gear struts. An optimization component 112 automatically optimizes the center of gravity to a rear limit of a center of gravity margin.

Abstract: A method of controlling an aircraft includes tracking, using at least one sensor, one of an input by a pilot or a biometric parameter of a first pilot during flight of the aircraft. The method also includes determining a lack of attention by the pilot or a depth of sleep of the pilot based on the biometric parameter.

Abstract: A method 140 of assessing an operator emotional state 131 and sending an alert 144 based on the emotional state 131. The method 140 includes tracking 141 during a time period, using at least one sensor 103, 105, 106, 112, 117, one of an image sensor data, voice data or a biometric parameter of an operator. Determining 142, using a controller 120 that is operatively connected to at least one sensor 103, 105, 106, 112, 117, a probability of a likely emotional state 131 from a list of emotional states 131 of an operator based on one of the image sensor data, voice data or the biometric parameter. Comparing 143, using a processor, the probability of one of the likely emotional states 131 of the operator with a baseline emotional state 131 of the operator. Sending 144, using the controller 120, an alert if most likely emotional state deviates from the baseline emotional state by a predetermined threshold.

Abstract: Route planning and movement of an aircraft on the ground based on a navigation model trained to improve aircraft operational efficiency is provided herein. A system comprises a memory that stores executable components and a processor, operatively coupled to the memory, that executes the executable components that comprise an assessment component, a sensor component, and a route planning component. The assessment component accesses runway data, taxiway data, and gate configuration data associated with an airport. The sensor component collects, from a plurality of sensors, sensor data related to performance data of an aircraft and respective conditions of the runway, the taxiway, and the gate configuration data. The route planning component employs a navigation model that is trained to analyze the sensor data, the runway data, the taxiway data, and the gate configuration data, and generate a taxiing protocol to navigate the aircraft to improve aircraft operational efficiency.

Abstract: A method for updating, for an aircraft, a first flight plan having a first set of flight parameters, includes receiving, via an avionics device, a change to the first flight plan, determining a second set of flight parameters based on the change to the first flight plan, receiving, by the avionics device, at least one of terrain data and special use airspace (SUA) data. The method includes performing, with the avionics device, a safety validation of the second set of flight parameters, wherein the safety validation comprises: comparing the second set of flight parameters with the received at least one of terrain data and SUA data, and determining, based on the comparison, whether the second set of flight parameters presents a risk to safe flight.

Abstract: Systems, computer-implemented methods and/or computer program products that facilitate automating fault isolation of flight control surfaces and damage detection of aircraft are provided. In one embodiment, a system 100 utilizes a processor 102 that executes computer implemented components stored in memory 104. One or more sensors 106 monitor wing and flight control surface from one or more vantage points to obtain full coverage of the wing. A machine vision component 108 assesses condition of the wing and the flight control surface based on results of the one or more sensors 106. A spectrographic component 110 detects leaks by monitoring airflow for traces of fuel or hydraulic fluid.

Abstract: Systems, computer-implemented methods and/or computer program products that facilitate landing on emergency or unprepared landing strip in low visibility condition are provided. In one embodiment, a system 100 utilizes a processor 106 that executes computer implemented components stored in a memory 104. A selection component 108 selects candidate spaces from a navigation database or machine vision data for landing an aircraft. A guidance component 110 guides landing the aircraft on a landing strip from among the candidate spaces in low visibility condition.

Abstract: A system and method for compiling and monitoring a list of operational aircraft components to determine if a threshold is met. Utilizing the list and the threshold can provide for monitoring the network of aircraft components to monitor both health and security of the aircraft network and components thereof. The system can then indicate or alert when a threshold is met or exceeded. Such an alert can be on a display to a pilot, for example, or to a remote monitoring station.

Abstract: A method for updating a flight plan comprising, via an avionics device, at least a portion of a flight plan from an external source, authenticating or validating the update, generating a set of updated flight parameters, comparing the set of updated flight parameters with a current set of flight parameters, receiving a set of environmental conditions, performing a series of plausibility checks and automatically updating at least a portion of the flight plan or generating an indication.

Abstract: An apparatus and method for an aircraft flight management system configured to analyze a takeoff sequence for an aircraft, the aircraft slight management system comprising a memory storing runway information associated with the runway from which the aircraft will depart, one or more inputs configured to receive variables comprising real-time aircraft variables and real-time condition variables that influence an actual velocity of the aircraft, sensors for sensing the actual velocity of the aircraft; and a processor configured to compare a real-time takeoff value to a takeoff requirement value.

Abstract: Systems and methods for control of vehicles are provided. A computer-implemented method in example embodiments may include receiving, at a computing system comprising one or more processors positioned in a vehicle, voice data from one or more audio sensors positioned in the vehicle. The system can determine whether configuration of a reference voiceprint for a speech processing system of the vehicle is authorized based at least in part on performance data associated with the vehicle. In response to determining that configuration of the reference voiceprint is authorized, a first reference voiceprint based on the reference voice data can be stored and the speech processing system configured to authenticate input voice data for a first set of voice commands based on the reference voiceprint.

Abstract: A method for determining degradation in performance of an electronic device connected to a communication network for an aerial vehicle includes monitoring, by one or more computing device(s), communications on the communication network during a validation period. The method further includes generating, by the computing device(s), a baseline operating profile of the electronic device based, at least in part, on the communications monitored during the validation period. In addition, the method includes monitoring, by the computing device(s), communications on the communication network during a post-validation period. The method further includes determining, by the computing device(s), a present operating profile of the electronic device based, at least in part, on the communications monitored during the post-validation period.

Abstract: Systems and methods for autonomous distress tracking (ADT) of aerial vehicles are provided. An autonomous distress tracking (ADT) system for an aerial vehicle is provided that includes one or more ADT devices. Each device includes at least one transmitter configured to transmit messages over one or more predetermined frequency bands. And ADT control system is configured to control a transmission rate of the one or more ADT devices based on flight plan data associated with an on-going flight of the aerial vehicle and performance data associated with the aerial vehicle during the on-going flight. The ADT control system can compare the flight plan data with the performance data to determine one or more deviations associated with the flight plan data and control a transmission rate of the one or more ADT devices based on the deviations.

Abstract: A method 140 of assessing an operator emotional state 131 and sending an alert 144 based on the emotional state 131. The method 140 includes tracking 141 during a time period, using at least one sensor 103, 105, 106, 112, 117, one of an image sensor data, voice data or a biometric parameter of an operator. Determining 142, using a controller 120 that is operatively connected to at least one sensor 103, 105, 106, 112, 117, a probability of a likely emotional state 131 from a list of emotional states 131 of an operator based on one of the image sensor data, voice data or the biometric parameter. Comparing 143, using a processor, the probability of one of the likely emotional states 131 of the operator with a baseline emotional state 131 of the operator. Sending 144, using the controller 120, an alert if most likely emotional state deviates from the baseline emotional state by a predetermined threshold.

Abstract: A method for detecting the spoofing of a signal from a satellite in orbit. A receiver can be located on an aircraft to receive an apparent satellite signal. The method can include determining at least two characteristic signatures of the signal including a power level, and indicating the apparent satellite signal is a spoofed satellite signal.

Abstract: A method of determining soil condition for possible treatment. The method comprises taking a soil sample at a predetermined location with an unmanned aerial vehicle (UAV). Sensing at least one characteristic of the soil with a sensor. Storing a value representative of the at least one characteristic and the predetermined location in a database. Determining if the value is within an acceptable range, and taking a corrective action to adjust the valve within the acceptable range.

Abstract: A method of restoring navigational performance for a navigational system, the method comprising receiving by a first navigational system and a second navigational system a collection of data points to establish a real-time navigational route for the aircraft, comparing navigational performance values and/or drift ranges and establishing a new navigational route based on the collection of data points.