The DLR exhibit "Maritime Situation Image" at the Seoul ADEX 2025 uses a VR presentation to illustrate how the use of maritime situation images can be utilised for the protection of maritime infrastructures. Three subject areas are presented and explained: the ‘SeaCat’ autonomous underwater vehicle (AUV) concept on object detection in the underwater area, the topic muon tomography, i.e. the use of cosmic radiation (muons) for the tomographic examination of objects such as freight containers, and Distributed Acoustic Sensing (DAS) on the detection of ships and submerged objects using fibre optic cables on the seabed.

Deep Reinforcement Learning and Knowledge-based Autonomous Maneuver/Engagement AI Pilot System - Air-to-air WVR, BFM/ACM autonomous maneuver/engagement AI pilot - Expandable to BVR engagement and mission performance * Terms: WVR (Within Visual Range), BFM (Basic fighter maneuvers), ACM (Air Combat Maneuvering), BVR (Beyond Visual Range)

Based on the T-50 trainer’s superior performance and an armament storing capability, the FA-50 aircraft is further developed and upgraded with Tactical Data Link, Precision Guided Munitions, and Self Protection subsystem. Featuring a fighter jet-class flight performance, the FA-50 aircraft has been deployed and operated in the Republic of Korea Air Force (ROKAF) since 2013.

Solution Overview The AI-Based Command Decision Support System, "KWM," identifies battlefield targets and recommends optimal weapon system combinations. It supports end-to-end "Sensor-to-Shooter" execution for rapid, accurate, and efficient engagement and command decision-making. Main Features Identifies targets on the battlefield using integrated sensors and data Recommends the most effective attack strategies for both reconnaissance and attack missions Provides command decision support through real-time analysis and visualization Suggests and allocates optimal target formations and strike assets Supports on-site command and control with a user-friendly interface Key Advantages Enables quick, accurate, and efficient engagement of enemy targets Automated recommendation of attack strategies and allocation of strike resources Real-time synchronization between reconnaissance and attack kill webs Direct connection from detection to strike (Sensor-to-Shooter capability) Increases operational efficiency and decision-making accuracy in complex battlefield environments Applied Cases Successfully piloted in the Army Tiger Boost Project in 2024 Used for command decision-making and efficient allocation of attack resources in live military scenarios

Operate the automated artillery system according to the operating procedure. It is the highest level controller of the automated artillery system that collects status information from each unit device controller that composes the automated artillery system, diagnoses faults and builds a database. - VxWorks operating system - Operating system recovery function - Building a failure history database in the built-in SSD - Check unit control device status information through communication

Our in-vehicle monitoring solution applies VLM-powered indoor and outdoor cameras to deliver real-time driver and passenger awareness. By integrating AI models such as facial landmark and head pose detection, gaze tracking, object recognition, and human pose estimation, the system supports safety features like drowsiness detection, distraction monitoring, and surrounding object awareness. Optimized for automotive SoCs including Qualcomm, and running on QNX RTOS and Linux, our solution combines model compression, embedded optimization, and a streamlined development pipeline. This ensures reliable, low-latency performance tailored for next-generation connected and intelligent vehicles.

METRAVIB PEARL is a miniaturized acoustic gunshot detection system initially designed for infantry and dismounted soldier who is in direct contact with the enemy. PEARL provides the capability of finding in a few seconds and in a very intuitive way the origin of the shots that are threatening them. The PEARL system can be installed, using a Picatinny rail, on an assault rifle, a sniper rifle, a machine gun or multifunction goggles/sights. An intuitive interface composed of directional LED arrows shows the azimuth and elevation of the threat. Compact and wireless, PEARL is easy and fast to get started with.

A cost-effective and reliable EO/IR solution designed for unmanned platforms, combining compact design with strong performance. The system integrates QVGA/VGA-class infrared sensors and 2–20 megapixel EO cameras, providing versatile options to meet different operational requirements. o Infrared (IR) Sensor: QVGA/VGA resolution, optimized for detection and recognition in short-to-mid range surveillance o Electro-Optical (EO) Module: 2MP–20MP visible light cameras with high-resolution imaging, adaptable to multiple mission profiles o Design Philosophy: Lightweight, compact, and robust for integration into unmanned aerial vehicles (UAVs), unmanned surface vehicles (USVs), and ground robotics o Key Value: Balances price competitiveness, system reliability, and modular scalability for mass deployment