The Technische Universität Dresden (TUD) announced the culmination of its “Air-Take-Off” research project on September 3, 2026, presenting advanced technical frameworks for collision avoidance between manned aircraft and unmanned aerial systems (UAS). Funded with approximately 2.1 million euros under the EFRE/JTF framework, the initiative addresses critical integration challenges for civil airspace management and emergency response applications.
Engineering the Shared Sky
As autonomous logistics and commercial drone deployments saturate low-altitude corridors, the structural integrity of civil airspace depends on real-time deconfliction algorithms. TUD’s Air-Take-Off project, running from June 2024 through October 2026, tackled this exact bottleneck. The research focused on building robust sensor fusion and automated flight-path adjustment models to guarantee that multi-rotor platforms and fixed-wing aircraft can coexist without risking mid-air collisions.
“Mit Air-Take-Off konnten wir verschiedene Bausteine für eine sichere Interaktion von bemannter und unbemannter Luftfahrt entwickeln und unter realen Bedingungen erproben. Mit Hilfe dieser Technologien können wir vielfältige Anwendungsszenarien adressieren und die Verkehrssicherheit im Luftraum nachhaltig verbessern,” stated Prof. Hartmut Fricke, project lead and holder of the Chair of Air Transport Technology and Logistics at the “Friedrich List” Faculty of Transport Sciences.
Cooperative Versus Non-Cooperative Detection Architectures
To construct a reliable dynamic airspace picture, the TUD research team divided detection methodologies into two distinct architectural approaches. Cooperative detection relies on standard transponder protocols, including Mode S and Remote Identification broadcasts, which actively transmit telemetry data across the network.
Complementing these active telemetry links, the team engineered non-cooperative optical recognition layers. Advanced camera payloads automatically scan the horizon, processing raw video frames to classify obstacles—distinguishing between commercial aircraft, rogue drones, migratory birds, and meteorological balloons—while dynamically calculating relative vector range. By synthesizing these data feeds, an onboard UAV gains the spatial awareness required to execute autonomous evasive maneuvers.
Disaster Response and Airborne Deployment Mechanics
Beyond basic deconfliction, the project developed a specialized aircraft-mounted transport and release system. This architecture allows a manned carrier aircraft to haul an unmanned aerial vehicle deep into remote operational zones before deploying it directly into the target airspace.
Such capabilities provide immediate logistical advantages during high-stakes emergency deployments. In scenarios like widespread forest fires, ground infrastructure often fails, rendering standard telemetry links useless. To solve this failure point, the TUD team evaluated multiple wireless standards, including WLAN and mobile communications, ultimately demonstrating a setup where a manned aircraft acts as a high-altitude access point for deployed drones via a mobile 5G campus network.
Real-World Testing at Kamenz Airfield
All system components underwent rigorous flight validation at the Kamenz airfield testbed. This dedicated real-world laboratory features a mobile 5G campus network, an autonomous flight competency center, and TUD’s own Cessna 172 research aircraft, serving as the core testing platform for the initiative.
Alongside Prof. Fricke, key contributors driving the project include Dr.-Ing. Hannes Braßel, Dr.-Ing. Chris Fischer, and Dr.-Ing. Andreas Hecker. The complete project report is scheduled for publication upon the official program conclusion in October 2026.
