The present disclosure describes systems and methods for training a user to control one or more simulated remotely operated machines. A network stream definition language file is used to identify and process simulated remotely operated machine data exchanged between a simulation computing device and a plurality of simulation stations, possibly being defined by many different Interface Control Documents (ICDs). Any exchange of simulated remotely operated machine data between the simulation computing device and a simulation station passes through a protocol gateway that implements the network stream definition language file. The protocol gateway is located at any point of the communication between the simulation computing device and the simulation station. Because the network stream definition language file configures the protocol gateway to process data between the simulation computing device and the plurality of simulation stations, each potentially having respective proprietary ICDs, only a single protocol gateway is necessary within the system.

A device for pilot training includes a memory, an interface, and one or more processors. The memory is configured to store at least one computational model of at least one human sensory system. The interface is configured to receive sensor data and aircraft state data from a flight simulator. The sensor data includes pilot activity data and motion data. The motion data is indicative of detected motion of a simulated aircraft of the flight simulator. The processor(s) are configured to process the motion data and the pilot activity data based on the at least one computational model to predict a pilot estimated aircraft state. The processor(s) are configured to determine an estimated error based on a comparison of the pilot estimated aircraft state and a detected aircraft state. The aircraft state data indicates the detected aircraft state. The processor(s) are configured to provide the estimated error to a second device.

A device for pilot evaluation during aircraft operation includes a memory, an interface, and one or more processors. The memory is configured to store at least one computational model of at least one human sensory system. The interface is configured to receive sensor data and aircraft state data of an aircraft. The sensor data includes pilot activity data and motion data. The one or more processors are configured to process the motion data and the pilot activity data based on the at least one computational model to predict a pilot estimated aircraft state. The one or more processors are configured to determine an estimated error based on a comparison of the pilot estimated aircraft state and a detected aircraft state. The aircraft state data indicates the detected aircraft state. The one or more processors are configured to selectively activate a notification based, at least in part, on the estimated error.

A simulation mapping system and method for determining a plurality of performance metric values in relation to a training activity performed by a user in an interactive computer simulation, the interactive computer simulation simulating a virtual element comprising a plurality of dynamic subsystems. A processor module obtains dynamic data related to the virtual element being simulated in an interactive computer simulation station comprising a tangible instrument module. The dynamic data captures actions performed by the user on tangible instruments. The processor module constructs a dataset corresponding to the plurality of performance metric values from the dynamic data having a target time step by synchronizing dynamic data and by inferring, for at least one missing dynamic subsystems of the plurality of dynamic subsystems missing from the dynamic data, a new set of data into the dataset from dynamic data associated to one or more co-related dynamic subsystems.

Systems and methods are disclosed for providing data for flight simulation, or performing flight simulation using data provided by a remote server system. In some embodiments, a method for providing data for flight simulation a method may include: receiving, from a client device, a request to perform a flight management system function to generate flight management data usable by the client device for flight simulation; based on the request, performing the flight management function to generate the flight management data; and providing, to the client device, the generated flight management data so that the client device uses the generated flight management data, a guidance function executed on the client device, and a navigation function executed on the client device for flight simulation.

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.

A vehicle simulator including: a base; a plurality of moveable components; and one or more physical and/or power connectors for coupling the components to the base. The components are positionable on the base with the connectors coupling the components to the base in a first arrangement to simulate a first vehicle type. The components are moveable to and positionable on the base with the connectors coupling the components to the base in a second arrangement different to the first arrangement to simulate a second vehicle type.

A computer-implemented method for integration of data into flight data monitoring comprises receiving quick access recorder data from an aircraft; receiving flight management system data from the aircraft; combining the quick access recorder data and the flight management system data to form combined data; and displaying the combined data on a user device.

A system and method for improving safety when operating an aircraft in reduced or modified visibility conditions is disclosed. The system includes optical material having an electrically controllable optical state, one or more sensors to monitor flight parameters (aircraft, pilot, or environmental), and a processing circuit capable of collecting the sensor data and using it to generate electrical signals to establish the optical state of the material. The method includes using a sensor to monitor fight parameters and using the sensor information to modify a sequence of electrical signals that are used to control an optical state of an optical material having an electrically controllable optical state.

A gimbal on-board a vehicle includes a receiver and a gimbal control system. The receiver is configured to receive a gimbal mode signal indicative of user selection of a gimbal mode from a plurality of gimbal modes. Each gimbal mode of the plurality of gimbal modes causes one or more axes of the gimbal to be stabilized with respect to an environment of the vehicle. The gimbal control system is configured to receive gimbal control data indicative of an attitude of the gimbal, receive position data of the vehicle indicative of a location or an attitude of the vehicle, and generate simulated gimbal response data indicative of a simulated attitude of the gimbal based on (1) the gimbal mode signal, (2) the gimbal control data, and (3) the position data of the vehicle.