
HENSOLDT Showcases Ground-Breaking Land Sensor Technology at Army Combat Training Grounds
As part of a technology exhibition at the German Army Combat Training Centre (GÜZ), the sensor solution provider HENSOLDT has adeptly exhibited the operational capability of its terrestrial networked sensors utilizing the technology demonstration vehicle “MUV”. In the presence of representatives from the GÜZ, the Army Development Office (AHEntwg), the Army Command (KdoH), the BAAINBw, along with Bundeswehr universities in Hamburg and Munich, the assisted and automated reconnaissance functionalities of the “MUV” were juxtaposed against the real-time situation display of the “AGDUS” duel simulator employed at the GÜZ.
During the unregulated application scenario, for the first instance, it became feasible to identify and categorize objects via machine learning algorithms. Utilizing the “Ceretron” computing unit, the sensor network successfully identified camouflaged combat vehicles under aggression, enabling reconnaissance and subsequently transmitting them to a command-and-control information system interconnected with a headquarters.
Thanks to the AI-enhanced reconnaissance assistant and the assistance for commanding under the hatch, it became possible to relay targets among the various workstations within the vehicle. By integrating laser alerts, reconnaissance optronics, comprehensive vision, and disseminating information across multiple vehicles and command posts, it facilitated the automatic resolution of several threat notifications.
“In the scope of ‘FAWU’ (reconnaissance-guidance-effect-support), HENSOLDT perceives its role as particularly significant in the realm of reconnaissance with seamless transitions to our other proficiencies,” states Tanya Altmann, head of Optronics & Land Solutions and managing director of HENSOLDT Optronics GmbH. “The successful demonstration in Colbitz-Letzlinger Heide has illustrated that our vision for sensor data fusion, particularly in relation to the digitalization of terrestrial operations, is indeed forward-looking.”





