
16 September 2022
R&D case: NH-90 Full Mission Flight Trainer Evaluation
Evaluation of NH-90 simulation device compliance
16 September 2022
Evaluation of NH-90 simulation device compliance
14 September 2022
Small and silent drones for mission landing zone reconnaissance. Selecting a good landing zone in an uninhabited area requires a good and extensive exploration of the terrain by specialists. This is a time-consuming activity that sometimes has to be done in silence. Possible locations are identified using digital maps and satellite data, but that data can be outdated and is usually not very detailed. That is why an initial check of the location is needed with current, up-to-date and more accurate recordings. ‘Pathfinders’ are sent ahead by parachute to explore the area with small drones that fit in a backpack, in addition to their survival gear and weapons. In the Mission Landing Zones (MILZ) project, the partner CGI developed software that can automatically identify possible landing zones based on operational criteria and data from maps and satellites. A quick on-site reconnaissance of the possible landing zone is preferred for updating and refining the data
07 September 2022
Virtual Reality training made easy for both trainee and instructor
24 August 2022
Formulation of training and simulation vision including a roadmap for implementation
13 July 2022
Intelligent opponents in mission simulation
14 June 2022
Training devices that fit your training needs often require large investments and are usually type -specific. There are currently no training devices that allow highly realistic interaction between the pilot and cockpit instruments, without the disadvantages associated with expensive high-end devices. The Virtual Cockpit bridges this gap by providing the technology to do just that: low-cost and high-fidelity training technology.
11 April 2022
Acquisition and Deployment Support.
05 April 2022
The PC-7 training aircraft of the Royal Netherlands Air Force (RNLAF) needs to be replaced. A Training Needs Analysis (TNA) and Training Media Analysis (TMA) were therefore done, aiming to provide a solution for the replacement of the entire initial training capacity. This training capacity needs to be flexible and scalable to meet the changing training needs in the future. As a result, the following questions should be answered clearly: