An aircraft performance analysis system and method include a performance analysis control unit that receives original performance model data, receives flight data from an aircraft, and determines a current performance model for the aircraft based on the original performance model data and the flight data.

A vehicle diagnostic device includes: a communication unit that communicates with a vehicle which drives autonomously; and a diagnostic unit that performs, via the communication unit, diagnosis as to whether the vehicle is being hacked. The diagnostic unit performs the diagnosis by checking resilience of software which runs a travel system provided in the vehicle.

The system includes an ultrasonic measuring device including ultrasonic transmitters and ultrasonic receivers, the ultrasonic measuring device carrying out ultrasonic measurements on a zone of interest of the component divided according to a gridding including cells, and carrying out the measurements cell after cell with the generation, by all the ultrasonic transmitters, of an ultrasonic signal that is sent into the component, and the measurement, by all the ultrasonic receivers, of the amplitude of the ultrasonic signal reflected by the cell in question of the component, a unit for computing, for all of the cells of the gridding, the sum of the amplitudes of all the measurements carried out for that cell, and a processing part for deducing the presence or absence of one or more defects. The system detects all the defects existing in the zone of interest of the component, whatever their orientation may be.

The system includes an ultrasonic measuring device including ultrasonic transmitters and ultrasonic receivers, the ultrasonic measuring device carrying out ultrasonic measurements on a zone of interest of the component divided according to a gridding including cells, and carrying out the measurements cell after cell with the generation, by all the ultrasonic transmitters, of an ultrasonic signal that is sent into the component, and the measurement, by all the ultrasonic receivers, of the amplitude of the ultrasonic signal reflected by the cell in question of the component, a unit for computing, for all of the cells of the gridding, the sum of the amplitudes of all the measurements carried out for that cell, and a processing part for deducing the presence or absence of one or more defects. The system detects all the defects existing in the zone of interest of the component, whatever their orientation may be.

Systems and methods for calibrating a synthetic image on an avionic display. The method includes receiving a synthetic image frame generated by an avionic display system and a sensor image frame from a forward-facing onboard sensor system. Object recognition is performed on the sensor image frame to generate a first search region for a first Federal Aviation Administration (FAA) marking, defined as a first search region-FAA marking pair. The sensor image frame and the first search region-FAA marking pair are processed using a deep learning method (DLM) to determine for the first FAA marking of the first search region-FAA marking pair, each of: a position deviation calculation, an orientation deviation calculation, and a synthetic image distortion factor. The synthetic image frame is then updated and rendered in accordance with the position deviation calculation, the orientation deviation calculation, and the synthetic image distortion factor, thereby calibrating the synthetic image frame.

Systems and methods for calibrating a synthetic image on an avionic display. The method includes receiving a synthetic image frame generated by an avionic display system and a sensor image frame from a forward-facing onboard sensor system. Object recognition is performed on the sensor image frame to generate a first search region for a first Federal Aviation Administration (FAA) marking, defined as a first search region-FAA marking pair. The sensor image frame and the first search region-FAA marking pair are processed using a deep learning method (DLM) to determine for the first FAA marking of the first search region-FAA marking pair, each of: a position deviation calculation, an orientation deviation calculation, and a synthetic image distortion factor. The synthetic image frame is then updated and rendered in accordance with the position deviation calculation, the orientation deviation calculation, and the synthetic image distortion factor, thereby calibrating the synthetic image frame.

A method and apparatus for maneuver training for an aircraft includes selecting a maneuver from a smartphone then determining a current location, a current velocity and a current direction of the aircraft by periodically reading a global positioning subsystem of the smartphone. Next, a tunnel for the maneuver is calculated from the current location, the current velocity, and the current direction and a first segment of the tunnel is displayed on a display of the smartphone; the tunnel represents boundaries of the maneuver. Thereafter, until the maneuver is completed, the current location of the aircraft is periodically read from the global positioning subsystem of the smartphone and subsequent segments of the tunnel are displayed on the display; the subsequent segments correspond to the current location of the aircraft.

A method and apparatus for maneuver training for an aircraft includes selecting a maneuver from a smartphone then determining a current location, a current velocity and a current direction of the aircraft by periodically reading a global positioning subsystem of the smartphone. Next, a tunnel for the maneuver is calculated from the current location, the current velocity, and the current direction and a first segment of the tunnel is displayed on a display of the smartphone; the tunnel represents boundaries of the maneuver. Thereafter, until the maneuver is completed, the current location of the aircraft is periodically read from the global positioning subsystem of the smartphone and subsequent segments of the tunnel are displayed on the display; the subsequent segments correspond to the current location of the aircraft.

A method and device for detecting conditions conducive to the onset of pumping that can affect a low-pressure compressor of an aircraft turbine engine. The turbine engine including a high-pressure compressor. The method including measuring a speed variation of the aircraft and measuring a speed variation of the high-pressure compressor. The method including a preliminary step of measuring an altitude of the aircraft. The conditions conducive to the onset of pumping being detected when the following conditions are jointly obtained: (a) the speed variation measured over a predetermined time interval corresponds to an acceleration greater than a first positive threshold, (b) the measured speed variation corresponds to a deceleration less than a second negative threshold, and (c) the altitude is greater than a third predetermined threshold.

A method and device for detecting conditions conducive to the onset of pumping that can affect a low-pressure compressor of an aircraft turbine engine. The turbine engine including a high-pressure compressor. The method including measuring a speed variation of the aircraft and measuring a speed variation of the high-pressure compressor. The method including a preliminary step of measuring an altitude of the aircraft. The conditions conducive to the onset of pumping being detected when the following conditions are jointly obtained: (a) the speed variation measured over a predetermined time interval corresponds to an acceleration greater than a first positive threshold, (b) the measured speed variation corresponds to a deceleration less than a second negative threshold, and (c) the altitude is greater than a third predetermined threshold.