Future Forces Forum
Future Forces Exhibition 2016
Military Advanced Robotic Systems (MARS) Conference 2016
Austrian Institute of Technology
Collision avoidance systems are a key technology for future unmanned aerial systems and advanced air traffic services. It is required to observe and understand the environment in real-time. This approach goes beyond state of the art, making use of novel sensing techniques and route planning strategies for avoidance.
The technology is capable to detect both cooperative and non-cooperative objects in the airspace by fusion of passive electro-optical and thermal-infrared and active radar sensors. In addition, existing classical technologies such as Automatic Dependent Surveillance - Broadcast and Traffic Advisory System will be used. This robust detection is the basis for the avoidance strategy and maneuver to avoid a potential collision. It focuses on the last possible conflict phase, where both the procedural and separation phase have failed and an immediate maneuver is the last possibility of collision avoidance.
Christoph Sulzbachner received his MSc degrees in 2006 and 2008. The focus of his university education was on hardware and software development for real-time systems and information management in general. He joined AIT Austrian Institute of Technology in 2008. Since 2012 he is certified as PMP. Since 2013, he is vice-chair R&D in the national UAV working group. He has experience in middle to large-scale projects as he is working and managing national and European-funded projects.