Assistance system for the situation aware defense of danger through unmanned aerial systems

Gunther P. Grasemann

doi:10.1117/12.2537975

7 October 2019 Assistance system for the situation aware defense of danger through unmanned aerial systems

Gunther P. Grasemann

Proceedings Volume 11166, Counterterrorism, Crime Fighting, Forensics, and Surveillance Technologies III; 111660I (2019) https://doi.org/10.1117/12.2537975
Event: SPIE Security + Defence, 2019, Strasbourg, France

Abstract

Today, unmanned aerial systems (UAS) are being used for a growing range of useful applications. This has been drastically increased during the last few years. The market is growing and a wide range of affordable and capable products is available. However, also the misuse of such systems is growing and has become a big problem for public security, private areas and industrial facilities. Therefore, products for detection, classification and countermeasures are an upcoming market though a complete solution is not yet present. At the Fraunhofer IOSB, a research project has been set up in 2017 with its aim to develop an interactive detection and analyzing tool that helps the security staff in situation analysis and decision making during the handling of threatening situations caused by the misuse of drones. Beginning with different measuring devices and data fusion of these channels in order to generate a situational picture the systems handle a comprehensive risk management while calculating the chances of countermeasures. The user is supported by situational awareness tools and simulation/prognosis of possible scenarios during the complete process. The objective is the optimal cognition for the users and to assist during the solution finding. There is no automatic decision and no automatic reaction without humans in the decision loop.

Conference Presentation

Citation Download Citation

Gunther P. Grasemann "Assistance system for the situation aware defense of danger through unmanned aerial systems", Proc. SPIE 11166, Counterterrorism, Crime Fighting, Forensics, and Surveillance Technologies III, 111660I (7 October 2019); https://doi.org/10.1117/12.2537975

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