Lakeside Labs and NES institute of the Alpen-Adria-Universität are working on autonomous multi-robot systems. The research focuses on the organization and communication during an exploration of indoor environments. Such autonomous systems may keep humans from entering hazardous environments by exploring it first. The implementation of wireless communication between robots without having to rely on pre-installed communication hardware, such as wireless routers or cellular networks is one of the t...
Jan 14, 2015•2 min
This video explains our research on autonomous unmanned aerial vehicles (UAVs). The research team at the Alpen-Adria University and Lakeside Labs developing a multi-UAV system by four key components: - the multiple UAV platforms, - The sensing component that analyzes the captured data, - the aerial network that provides wireless networking functionality among the UAVs and the ground station, - the coordination component that organizes the individual tasks of the UAVs to achieve a common mission ...
Sep 05, 2014•3 min
It is not a secret that in the 21st century, information is crucial. In a disaster scenario this statement becomes even stronger, since up-to-date information might save lives. In the project "Collaborative microdrones" we use small aerial robots to provide such information to the rescue team. It is an overview image of a disaster scene and is updated over time. This thesis is about an algorithm to compute paths that the robots will follow. The video explains how the whole system works. The Base...
Dec 18, 2013•2 min
The iPhone application BUZZflies detects sounds from other iPhone devices and synchronizes them utilizing a synchronization algorithm inspired from the nature: the firefly synchronization algorithm. After the iPhone devices are synchronized they will play a song of your choice from your library. This iPhone application is a demonstration of simple distributed scheme based on the theory of pulse coupled oscillators. http://www.youtube.com/watch?v=6Rx2THU3daM&list=PLB18oUigs4QCaBg2k20Zp6pGQd2N...
Dec 18, 2013•51 sec
FREVO is an open-source framework developed in Java to help engineers and scientists in evolutionary design or optimization tasks.
Dec 18, 2013•6 min
Using off-the-shelf, low-altitude multicopters equipped with high-quality cameras and GPS, our project team developed a software that enables an autonomous system for aerial reconnaissance. The overall system has been tested in the field with fire fighters and other application partners.
May 14, 2013
Traffic management and control systems depend heavily on timely and accurate information from sensors along observed roads. Amending existing sensors for traffic surveillance and environment monitoring on today's road networks with intelligent and selforganizing video sensors is the subject of a project entitled "LOOK2". Together with ASFINAG, the Austrian operator of motorways and expressways, efficient methods for sensing, notifying and processing of relevant changes in traffic flow on Austria...
Mar 07, 2013•3 min
From theory to practice: Self-organizing time synchronization using inhibitory and excitatory coupling. Wasif Masood shows a time coupling experiment with off the shelf low cost devices. The algorithm he used has been inspired by the natural phenomenon of firefly synchronization....
Feb 27, 2013•1 min
We design the interactions between oscillators communicating via variably delayed pulse coupling to guarantee their synchronization on arbitrary network topologies. We identify a class of response functions and prove convergence to network-wide synchrony from arbitrary initial conditions. Synchrony is achieved if the pulse emission is unreliable or intentionally probabilistic. These results support the design of scalable, reliable and energy-efficient communication protocols for fully distribute...
Sep 25, 2012•4 min
This project aims to develop a solution for a smart resource-aware multi-sensor network (SRSnet) for autonomous event detection in scenarios with limited infrastructure. SRSnet integrates various state-of-the-art technologies, ranging from audio and video detection over localization to sensing: moreover, we intend carry out a scientific innovation on the research areas distributed smart sensors and concepts and algorithms on collaborative audio and video analysis. The work includes system assess...
Aug 24, 2012•5 min
Lightscribe -- writing with light -- An idea of our trainees could be realized in a few days -- or better to say -- nights. We exported text and graphics as vectors and computed optimized route plans for our Microdrone MD4 UAV. The projective camera model was considered in the route planning, thus the UAV was flying always at the same altitude but the result exposed to the spectators at the computed position on the ground was upright and almost free of distortions. For drawing on the sky we repl...
Aug 01, 2012•3 min
In this short video clip the cDrones team at Alpen-Adria Universität Klagenfurt and Lakeside Labs demonstrate their multi-UAV system for covering large areas.
Jul 23, 2012•3 min
Mastering complex systems in technology: In this video István Fehérvári explains complex systems and how to master its problems. Furhtermore he shows the FREVO tool witch can be downloaded from frevotool.tk
Sep 23, 2011•7 min
SOMA I.T. is an transdisciplinary research and development project of the department of Information Technology (ITEC&NES, soma.lakeside-labs.com) and the department of Intervention Research and Cultural Sustainability (http://www.uni-klu.ac.at/iff/ikn). It is part of our project SOMA (Self Organizing Multimedia Architecture). Especially, it is based on the methodology of intervention.
Nov 04, 2010•17 min
"Wissen schaffen." is a book which shows the current research activities at the University Klagenfurt. The round of talks, with DI Reinhard Petschacher, Prof. Dr. Mario Huemer and Prof. Dr. Christian Bettstetter, is one part of this interesting volume.
Oct 13, 2010•8 min
See how our aerial tracking software works...
Sep 17, 2010•2 min
The SOMA Team wants to investigate how multimedia content is created in a social event, and how this content can be used for our self-organizational approach of detecting and presenting "situations of interest" (as, e.g. "crowd formation"). In this video you can see the SOMA team explaining thier research on the basis of the SOMA World Games event at the Lakeside Labs.
Aug 10, 2010•7 min
The goal of this research activity is to elaborate basic concepts for a straightforward generic design process for creating self-organizing solutions, consisting of the stages modeling, simulation and iteration, validation, re-iteration or deployment. In this video the DEMESOS-Team explaining their work and the goals of thier research.
Jul 08, 2010•6 min
See how easy it is to work with our Software for microdrones.
Apr 06, 2010•3 min
The project "Self-Organizing Slot Synchronization" (Triple-S) in cooperation with the Klagenfurt University will contribute to research in the area of self-organizing synchronization of wireless networks. Beside the development, the stability and misconduct of the en closured equipment and the behavior during the synchronization will be analyzed. In particular, we analyze the robustness against misbehavior of mobile devices during synchronization.
Mar 09, 2010•1 min
The shown iPhone application detects sounds from other iPhone devices and synchronizes them utilizing an synchronization algorithm inspired from the nature: the firefly synchronization algorithm. This iPhone application is a demonstration of simple distributed scheme based on the theory of pulse coupled oscillators. Further activities and research results can be found here.
Jan 19, 2010•49 sec
"Wissen schaffen." is a book which shows the current research activities at the University Klagenfurt. The round of talks, with DI Reinhard Petschacher, Prof. Dr. Mario Huemer and Prof. Dr. Christian Bettstetter, is one part of this interesting volume.
Jan 13, 2010•3 min
See one of our research project at the Robocup in Graz 2009.
Oct 08, 2009•4 min
See our research on collaborative microdrones.
Sep 01, 2008•4 min
