G09B19/165

PORTABLE COMPUTING DEVICE AND METHOD FOR TRANSMITTING INSTRUCTOR OPERATING STATION (IOS) FILTERED INFORMATION
20170236440 · 2017-08-17 · ·

A portable computing device and method for transmitting Instructor Operating Station (IOS) filtered information. A portable computing device receives IOS control and monitoring data from a simulation server, displays the IOS control and monitoring data on the portable computing device, and receives a selection by a user of at least one component of the displayed IOS control and monitoring data. The selection is performed by an interaction of the user with the displayed IOS control and monitoring data. The portable computing device determines IOS filtered information related to the selected at least one component, and transmits the IOS filtered information to a destination computing device. The determination of the IOS filtered information takes into consideration destination user access rights of a destination user. The destination device may be a simulator or a portable computing device, where the destination user performs a simulation session by interacting with the simulation server.

FLIGHT INFORMATION STORAGE SYSTEM AND METHOD OF MANAGING SAME FOR AIRPLANE
20170217601 · 2017-08-03 · ·

A flight information storage system for an airplane according to the present invention may include: one or more of a video acquiring device mounted on the airplane; a recording device for recording video acquired through the video acquiring device(s) during a flight of the airplane; and a travel storage device which simultaneously stores the video data recorded by the recording device. Here, the travel storage device may be a USB cartridge, and the video acquiring device may be one or both of a digital camera and a radar device. The digital camera may include a first digital camera that is installed in front of the cockpit of the airplane to capture an image to the front of the airplane during flight, and two or more second digital cameras installed behind the cockpit of the airplane to capture an image of the instrument panel of the airplane and the area surrounding the instrument panel.

SYSTEMS AND METHODS FOR PILOT TRAINING VIA STREAMING AVIONIC SIMULATION TO CLIENT DEVICE

Disclosed are systems, methods, and non-transitory computer-readable medium for providing data for flight simulation, or performing flight simulation using data provided by a remote server system. In some embodiments, a method for streaming avionic simulation may include: receiving, from a user device, a request for flight management service functions by a user; determining the flight management service functions registered to the user based on the request; determining a device setup configuration associated with the user; selecting one or more user devices based on the device setup configuration; receiving streaming data corresponding to a simulation of the flight management service functions; and transmitting the streaming data corresponding to the flight management service functions to one or more user devices, wherein the streaming data provides the simulation of the flight management service functions.

SYSTEMS AND METHODS FOR TRAINING AIRCRAFT OPERATORS

A computer-implemented method may be used for training aircraft operators. The method may include determining a set of recommended flight training topics for a target aircraft operator, and receiving flight data recorded from simulator training performed by the aircraft operator or operation of aircraft by the aircraft operator. Additionally, the method may include analyzing the flight data to determine a proficiency evaluation, the proficiency evaluation being a measure of proficiency of the aircraft operator in one or more training topics, and adjusting the set of recommended flight training topics based on proficiency evaluation.

INFORMATION PROCESSING APPARATUS

Related information acquiring unit acquires related information related to a facility to be inspected. Related information acquiring unit acquires shape information indicating the shape of a facility as related information. Required skill determining unit determines, when inspection data regarding the facility is acquired by causing drone to make a flight around the facility, a required skill needed to operate drone. Required skill determining unit determines the required skill regarding the facility based on the acquired related information regarding the facility. Required skill determining unit makes determination such that, the higher the level of complexity of a flight route along the shape of the facility that is represented by the acquired related information is, the higher the required skill is. Operation plan generating unit generates an operation plan for causing drone to make a flight while visiting facilities for which the level of the determined skill is the same.

Flight School Credentialing And Verification System

A flight school credentialing and verification system uses software tools to implement flight school functionality, including scheduling flight course sessions, customizing flight course sessions, and integrating third party tools, all in accordance with safety requirements as established by a regulatory body. For example, a flight school credentialing and verification software application may determine whether credential items of a user satisfy credential definitions defined for a flight course. Responsive to a determination that the credential items satisfy the credential definitions, an availability of one or more resources of a flight school used for the flight course can be verified, and, responsive to that verification, one or more candidate flight course registrations are determined. A flight course output indicative of a selected flight course registration is then generated. To maintain and automate safety, the credential definitions can be updated based on changes to flight course requirements made by the regulatory body.

METHOD AND SYSTEM FOR GENERATING VEHICLE PARAMETERS FOR TRAINING A USER TO SCORE A VEHICLE MANEUVER
20230306870 · 2023-09-28 · ·

There is described a method and a system for training a user to score a vehicle maneuver: vehicle parameters are generated, using one of a machine learning model and a rule-based model, based on a target grade and a vehicle maneuver, the target grade being indicative of a given performance level of a pilot performing the vehicle maneuver, the vehicle parameters representing parameters of the vehicle during the vehicle maneuver, the vehicle parameters enabling evaluating a performance of the pilot during the vehicle maneuver. The vehicle parameters are provided for display providing the vehicle parameters for display, a subjective grade indicative of an estimated performance level of the pilot during the vehicle maneuver is received, and the target grade is provided for display to the user on the display device, thereby allowing the user to compare the subjective grade to the target grade.

Systems and methods for flight simulation

A method includes receiving, at a display device, simulated flight data from a flight control system on-board an unmanned aerial vehicle (UAV) when the UAV is in a simulation mode; and displaying, on a visual display of the display device, simulated flight state information of the UAV in response to the simulated flight data. The display device is configured to display real flight data when the UAV is in a flight mode.

Consistent unbiased automated method for evaluating and examining student pilots
11308822 · 2022-04-19 ·

A system and method of evaluating and examining a student pilot in an automated, consistent, unbiased way using a flight data recorder and analyzing the flight data recorded in real time.

System and method for predicting performance to control interventions by assistive technologies

In an embodiment of the present invention, a method for generating a prediction of ability of a subject to perform a task in a future time step includes receiving performance data corresponding to a performance of the subject on the task; receiving a plurality of biometric inputs computed based on physiological data during the performance of the subject on the task; identifying a numerical relationship between the performance data and the plurality of biometric inputs; generating a modulation parameter for each of the plurality of biometric inputs based on the identified numerical relationship; loading a plurality of state variable inputs produced by a generic model of performance; and generate the prediction of ability to perform the task at the prediction time, generated by a trained performance predictor based on biometric inputs predicted based on the modulation parameters.