A simulation testing architecture can be applied to an aircraft monitoring system for an aircraft that includes complex algorithms (such as machine learning algorithms) for sensing objects around the aircraft and controlling the aircraft to avoid such objects. A reference scenario is selected from a plurality of stored scenarios based on a desired set of aircraft safety standards. A stochastic process is applied to generate a large number of conditional variations within a simulated environment, varying weather, objects in the airspace, points of failure, and the like to provide a representative sample of possible aircraft missions and encounters within the selected reference scenario. Synthetic environmental inputs are fed into the aircraft monitoring system software, and the resultant actions of the software are logged. These logs can be used to generate metrics on an encounter-level basis, a scenario-level basis, or across a population of scenarios.

A training and/or assistance platform for air traffic management is provided. The platform includes an air traffic management electronic system for obtaining input data representative of air traffic, to deliver, to an air traffic controller, information established as a function of the obtained input data, and to receive instructions from the air traffic controller The platform further includes a block for automatically determining instructions based on input data representative of at least the state of air traffic. The platform further includes an electronic processing module for collecting said input data and to provide it to the automatic determining block The platform further includes a neural network derived from learning on an input data history obtained by an electronic air traffic control system and received air traffic control instruction(s) received by the system.

Support structure adapted to form a collision object for use when testing a subject vehicle to simulate a real traffic environment, the support structure comprising a plurality of panels having a bending stiffness according to ISO 5628:2012 of 20 Nm to 60 Nm, such as 30 Nm to 50 Nm, such as 35 Nm to 45 Nm. A support structure adapted to form a collision object for use when testing a subject vehicle to simulate a real traffic environment, the support structure comprising a plurality of panels made from cardboard, is also provided. A collision object for use when testing a subject vehicle to simulate a real traffic environment is also provided.

Systems and methods for generating simulated LiDAR data using RADAR and image data are provided. An algorithm is trained using deep-learning techniques such as loss functions to generate simulated LiDAR data using RADAR and image data. Once trained, the algorithm can be implemented in a system, such as a vehicle, equipped with RADAR and image sensors in order to generate simulated LiDAR data describing the system's environment. The simulated LiDAR data may be used by a vehicle control system to determine, generate, and implement modified driving operations.

A system and a method for mixed reality immersive simulation that can be used for simulating a dynamically deformed virtual space that is extensive and spacious in comparison to the actual physical source space surrounding the participants. Said system and method may also provide a multiple spaces simulation, such as alternate combat arenas where several different participants may operate in different mixed reality sub-scenes, while sharing the same physical space as a source space, enabling maximized close quarter spaces.

A computer-implemented method includes receiving, via an airborne network and by a computing device associated with a live-force aircraft in a training environment, simulated data representing simulated attributes of an adversary aircraft, wherein the simulated data is packet based; and executing, by the computing device, one or more operations based on receiving the simulated data for creating a training simulation for the live-force aircraft, wherein the training simulation includes the adversary aircraft with the simulated attributes.

A flight emulation system receives global positioning system (GPS) data into one or more EGIs (embedded GPS/inertial navigation system (INS)) or GPS receivers from a GPS emulator. The GPS data are based on a pre-defined flight trajectory plan of an aircraft. The system calculates real-time positional, orientational, and inertial emulation data using outputs of the EGIs or GPS receivers and platform-specific, flight dynamics data, and then transmits the real-time positional, orientational, and inertial emulation data to one or more subsystems associated with the aircraft for use by operations of the one or more subsystems.

A training simulation system and method for detection of hazardous materials simulates real-world hazardous environments to provide a trainee with hazardous material training. The system provides a hazardous material detection simulator that displays simulated readings to indicate presence thereof. The detection simulator automatically generates the simulated readings, based on its relative position to the hazard point, and based on preprogrammed hazard points in the area. A host trainer, through a trainer communication device, remotely generates and adjusts the simulated readings while tracking vehicle's position. A vehicle integrally contains the hazardous material detection simulator. A trainee controls the vehicle while also observing and reacting to the simulated readings. Once the hazard point is determined, based on simulated readings, the trainee can form a decision on the readings and react accordingly. The simulated readings can be adjusted based on the reaction of the trainee and position of vehicle relative to hazard point.

A live virtual constructive (LVC) gateway system is configured to transparently separate, merge, and route data traffic between operator systems, live tactical Line Replaceable Unit (LRU) systems, and simulated tactical LRU systems. The LVC gateway is configured to receive LRU commands from an operator system, parse, the commands, and reconstruct the commands suitable for transmission to live or simulated tactical LRU systems. The LVC gateway is also configured to receive live and simulated status and target data from live tactical LRU and simulated tactical LRU systems, respectively, and merge the data for transmission to an operator system.

An Inertial Navigation System (INS) testing system includes a Unit Under Test (UUT) with an INS module, a DAT tool configured to provide command and control functions to a user, and a Dynamically Integrated Navigation Tester (DINT) in communication with the UUT and the DAT tool. The DINT includes a truth data conversion module configured to receive truth data and convert it to navigation data suitable for transmission to the UUT. The INS testing system advantageously allow a user to interface with a UUT while providing user-specified dynamic inputs from the DINT with the truth data selected by the user.