H
Hermann Hellwagner
Researcher at Alpen-Adria-Universität Klagenfurt
Publications - 279
Citations - 4845
Hermann Hellwagner is an academic researcher from Alpen-Adria-Universität Klagenfurt. The author has contributed to research in topics: The Internet & Adaptation (computer science). The author has an hindex of 36, co-authored 247 publications receiving 4170 citations. Previous affiliations of Hermann Hellwagner include Adria Airways & Information Technology University.
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Journal ArticleDOI
Drone networks: Communications, coordination, and sensing
TL;DR: A high-level architecture is described for the design of a collaborative aerial system consisting of drones with on-board sensors and embedded processing, coordination, and networking capabilities that has potential in disaster assistance, search and rescue, and aerial monitoring.
Proceedings ArticleDOI
An Autonomous Multi-UAV System for Search and Rescue
Jürgen Scherer,Saeed Yahyanejad,Samira Hayat,Evsen Yanmaz,Torsten Andre,Asif Khan,Vladimir Vukadinovic,Christian Bettstetter,Hermann Hellwagner,Bernhard Rinner +9 more
TL;DR: A modular architecture of an autonomous unmanned aerial vehicle (UAV) system for search and rescue missions that is capable of providing a real-time video stream from a UAV to one or more base stations using a wireless communications infrastructure.
Journal ArticleDOI
Application-driven design of aerial communication networks
Torsten Andre,Karin Anna Hummel,Angela P. Schoellig,Evsen Yanmaz,Mahdi Asadpour,Christian Bettstetter,Pasquale Grippa,Hermann Hellwagner,Stephan Sand,Siwei Zhang +9 more
TL;DR: It is indicated that while certain requirements of MAV applications are met with available technologies, further research and development is needed to address the scalability, heterogeneity, safety, quality of service, and security aspects of multi- MAV systems.
Proceedings ArticleDOI
Automatic sub-event detection in emergency management using social media
TL;DR: Investigation of the application of multimedia metadata to identify the set of sub-events related to an emergency situation shows how social media data can be used to detect different sub- Events in a critical situation.