Defence and Security

Mission Landing Zones (MILZ) project
Defence and Security

14 September 2022

R&D case: Small and silent drones for mission landing zone reconnaissance

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 Possible locations are identified using digital maps and satellite data, but that data can be outdated and is usually not very detailed.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

NLR Virtual Cockpit
Training and Simulation

14 June 2022

R&D case: Virtual Cockpit training demonstrator

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.

Replacement of initial training capacity
Training and Simulation

05 April 2022

R&D case: Flexible and scalable future training

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: