@inproceedings{19845,
  abstract     = {{In dieser Arbeit stellen wir ein flexibles System zur Entwicklung und Evaluation von 3-D-Renderingalgorithmen vor, das die Visualisierung komplexer virtueller Szenen auf einem breiten Spektrum an Geräten erlaubt. Die Aufbereitung und Echtzeitdarstellung solcher virtueller Szenen, wie sie beispielsweise aus detaillierten CAD-Daten erzeugt werden, stellt in vielerlei Hinsicht eine algorithmische und technische Herausforderung dar. Die 3-D-Szenendaten können nach dem Dateiimport aus einem Austauschformat in eine Vielzahl unterschiedlicher Datenstrukturen überführt werden. Es muss ein geeignetes Renderingverfahren ausgewählt und eingestellt werden, welches sowohl die Eigenschaften der Szene (Zahl der Polygone, Grad der Verdeckung etc.) als auch die Fähigkeiten der Hardware berücksichtigt. Auf der einen Seite stellt die Darstellung auf mobilen Endgeräten wie Smartphones besonders hohe Anforderungen aufgrund der Speicherbeschränkung und der geringen Leistungsfähigkeit der Grafikhardware. Auf der anderen Seite stehen bei Großprojektionssystemen, wie beispielsweise dem HD-Visualisierungscenter des Heinz Nixdorf Instituts, die hohe Bildqualität bei stereoskopischer Darstellung und die Unterstützung von Trackingsystemen im Vordergrund.

Der Fokus des von uns entwickelten Systems PADrend liegt in der Bereitstellung einer flexiblen und leicht erweiterbaren Grundlage für die Entwicklung und Evaluation von 3-D-Renderingalgorithmen und räumlichen Datenstrukturen im Bereich der Forschung und der universitären Ausbildung. Durch den modularen Aufbau und die große Bandbreite an unterstützten Systemen wird gewährleistet, dass eine Vielzahl unterschiedlicher Entwicklungen und Anwendungen auf PADrend aufsetzen können. In diesem Artikel geben wir einen Überblick über den Aufbau und die Fähigkeiten des Systems. Des Weiteren geben wir ein Beispiel für ein Anwendungsszenario, in dem PADrend eingesetzt wird: die Visualisierung von architektonischen Modellen auf einem Multiprojektionssystem.}},
  author       = {{Jähn, Claudius and Petring, Ralf and Eikel, Benjamin}},
  booktitle    = {{Augmented & Virtual Reality in der Produktentstehung}},
  pages        = {{159----170}},
  publisher    = {{Verlagsschriftenreihe des Heinz Nixdorf Instituts, Paderborn}},
  title        = {{{PADrend: Platform for Algorithm Development and Rendering}}},
  volume       = {{295}},
  year         = {{2011}},
}

@inproceedings{20180,
  abstract     = {{The challenging scientific field of self-reconfiguring modular robotics (i.e., decentrally controlled 'super-robots' based on autonomous, interacting robot modules with variable morphologies) calls for novel paradigms of designing robot controllers. One option is the approach of evolutionary robotics. In this approach, the challenge is to achieve high evaluation numbers with the available resources which may even affect the feasibility of this approach. Simulations are usually applied at least in a preliminary stage of research to support controller design. However, even simulations are computationally expensive which gets even more burdensome once comprehensive studies and comparisons between different controller designs and approaches have to be done. Hence, a benchmark with low computational cost is needed that still contains the typical challenges of decentral control, is comparable, and easily manageable. We propose such a benchmark and report an empirical study of its characteristics including the transition from the single-robot setting to the multi-robot setting, typical local optima, and properties of adaptive walks through the fitness landscape.}},
  author       = {{Hamann, Heiko and Schmickl, Thomas and Crailsheim, Karl and Krasnogor, Natalio and Luca Lanzi, Pier}},
  booktitle    = {{Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, GECCO 2011}},
  pages        = {{195----202}},
  title        = {{{Coupled inverted pendulums: A benchmark for evolving decentral controllers in modular robotics}}},
  doi          = {{10.1145/2001576.2001604}},
  year         = {{2011}},
}

@inproceedings{20181,
  abstract     = {{The current definitions of emergence have no effects in the context of artificial life that could convincingly be called `constructive'. They are rather descriptive labels or tests. In order to get towards recipes of generating emergence we need to know systemic characteristics that help during the design phase of artificial life systems and worlds. In this paper, we develop and discuss five hypotheses that are not meant to be irrevocable but rather thought-provoking. We introduce two modeling approaches for Langton's ant to clarify these hypotheses. Then we discuss general properties of systems, such as (ir-)reversibility, dependence on initial states, computation, discreetness, and undecidable properties of system states.}},
  author       = {{Hamann, Heiko and Schmickl, Thomas and Crailsheim, Karl}},
  booktitle    = {{IEEE Symposium on Artificial Life (IEEE ALIFE 2011)}},
  pages        = {{62----69}},
  title        = {{{Thermodynamics of Emergence: Langton's Ant Meets Boltzmann}}},
  doi          = {{10.1109/ALIFE.2011.5954660}},
  year         = {{2011}},
}

@inproceedings{20183,
  author       = {{Hamann, Heiko and Schmickl, Thomas and Crailsheim, Karl}},
  booktitle    = {{10th European Conference on Artificial Life (ECAL'09)}},
  isbn         = {{9783642212826}},
  issn         = {{0302-9743}},
  pages        = {{442----449}},
  title        = {{{Evolving for Creativity: Maximizing Complexity in a Self-organized Multi-particle System}}},
  doi          = {{10.1007/978-3-642-21283-3_55}},
  volume       = {{5777}},
  year         = {{2011}},
}

@inproceedings{20184,
  author       = {{Hamann, Heiko and Schmickl, Thomas and Stradner, Jürgen and Crailsheim, Karl and Thenius, Rona and Fitch, Robert}},
  booktitle    = {{Robotic Organisms: Artificial Homeostatic Hormone System and Virtual Embryogenesis as Examples}},
  title        = {{{Robotic Organisms: Artificial Homeostatic Hormone System and Virtual Embryogenesis as Examples for Adaptive Reaction-Diffusion Controllers}}},
  year         = {{2011}},
}

@inbook{20193,
  author       = {{Hamann, Heiko and Schmickl, Thomas}},
  booktitle    = {{Bio-inspired Computing and Communication Networks}},
  editor       = {{Xiao, Yang}},
  publisher    = {{CRC Press}},
  title        = {{{{BEECLUST}: {A} Swarm Algorithm Derived from Honeybees}}},
  year         = {{2011}},
}

@inproceedings{20194,
  author       = {{Hamann, Heiko and Karsai, Istvan and Schmickl, Thomas and Stradner, Jürgen and Crailsheim, Karl and Thenius, Ronald and Kampis, Gyoergy and Szathmary, Eoers}},
  booktitle    = {{Advances in Artificial Life, 10th European Conference, ECAL 2009}},
  pages        = {{132----139}},
  title        = {{{Evolving a novel bio-inspired controller in reconfigurable robots}}},
  year         = {{2011}},
}

@inproceedings{20195,
  author       = {{Hamann, Heiko and Schmickl, Thomas and Crailsheim, Karl and Thenius, Ronald and Kengyel, Daniela}},
  booktitle    = {{10th European Conference on Artificial Life (ECAL'09)}},
  title        = {{{Embodiment of Honeybee's Thermotaxis in a Mobile Robot Swarm}}},
  doi          = {{10.1007/978-3-642-21314-4_9}},
  year         = {{2011}},
}

@inbook{20196,
  author       = {{Hamann, Heiko and Schmickl, Thomas and Crailsheim, Karl}},
  booktitle    = {{Advances in Artificial Life, ECAL 2011: Proceedings of the 11th European Conference on the Synthesis and Simulation of Living Systems}},
  editor       = {{Lenaerts, Tom and Giacobini, Mario and Bersini, Hugues and Bourgine, Paul and Dorigo, Marco and Doursat, Rene}},
  pages        = {{302----309}},
  publisher    = {{MIT Press}},
  title        = {{{Explaining Emergent Behavior in a Swarm System Based on an Inversion of the Fluctuation Theorem}}},
  year         = {{2011}},
}

@inbook{20214,
  author       = {{Hamann, Heiko and Schmickl, Thomas and Stradner, Jürgen and Crailsheim, Karl and Winkler, Lutz}},
  booktitle    = {{New Horizons in Evolutionary Robotics}},
  publisher    = {{Springer}},
  title        = {{{Major Feedback Loops Supporting Artificial Evolution in Multi-modular Robotics}}},
  doi          = {{10.1007/978-3-642-18272-3_13}},
  year         = {{2011}},
}

@article{20215,
  author       = {{Schmickl, Thomas and Hamann, Heiko and Crailsheim, Karl}},
  issn         = {{1387-3954}},
  journal      = {{Mathematical and Computer Modelling of Dynamical Systems}},
  number       = {{3}},
  pages        = {{221--242}},
  title        = {{{Modelling a hormone-inspired controller for individual- and multi-modular robotic systems}}},
  doi          = {{10.1080/13873954.2011.557862}},
  volume       = {{17}},
  year         = {{2011}},
}

@misc{2872,
  author       = {{Böttger, Timm}},
  title        = {{{Bicriteria-Approximation für das k-Median-Clustering mit Bregman-Divergenzen}}},
  year         = {{2011}},
}

@inproceedings{26276,
  author       = {{Hosseinimehr, Masoud and Montealegre, Norma}},
  booktitle    = {{The 23rd IASTED International Conference on Parallel and Distributed Computing and Systems (PDCS 2011)}},
  location     = {{ 14. - 16. Dez. 2011, ACTA Press, Calgary, Canada}},
  publisher    = {{ACTA Press}},
  title        = {{{Implementation of a Singular Value Decomposition Module on an FPGA}}},
  year         = {{2011}},
}

@inproceedings{26279,
  abstract     = {{In this paper an approach for automatic feature classification based on their motion in the image plane is introduced. By combining concepts of the human perception of motion with techniques belonging to the area of cluster analysis, we subsequently abstract the visual data in order to separate features, whose motion is caused by the sensor motion from features, which possibly belong to dynamic objects in the environment. The presented algorithm exclusively works on data, that can be extracted from the two dimensional image plane. Hence, no external data like the current motion of the applied camera is required. Furthermore, the algorithm works on any type of tracked feature, as long as it can be statistically represented. The results of the presented approach constitute a very good starting point for additional object detection mechanisms.}},
  author       = {{Jungmann, Alexander and Kleinjohann, Bernd}},
  booktitle    = {{Proceedings of the 5th International Conference on Automation, Robotics and Applications (ICARA)}},
  location     = {{Wellington, New Zealand, 6. - 8. Dez. 2011, IEEE}},
  publisher    = {{IEEE}},
  title        = {{{Automatic Feature Classification for Object Detection based on Motion Analysis}}},
  year         = {{2011}},
}

@inproceedings{26281,
  abstract     = {{This paper introduces a novel method for registering a large amount of aerial images when camera parameters are almost unknown and no reference images are available. The envisioned application is the creation of an overview map of a disaster area from images made by unmanned aerial vehicles (UAVs) equipped with cameras. The camera systems only have uncertain information about flight attitude. With traditional methods, the relatively small perspective errors per image sum up over time resulting in perspective errors which prevent building a consistent map from successively arriving images. By using virtual forces between images, the image parameters are continuously adapted to the current map. The small projective errors of quasi orthographic images are distributed among overlapping images. Having UAVs which deliver quasi orthographic images, our approach can build a contemporary overview without the need to have all images in advance.}},
  author       = {{Stern, Claudius and Rasche, Christoph and Kleinjohann, Lisa and Kleinjohann, Bernd}},
  booktitle    = {{The 5th International Conference on Automation, Robotics and Applications (ICARA 2011)}},
  location     = {{Wellington, New Zealand, Dez. 2011}},
  title        = {{{Towards Using Virtual Forces for Image Registration}}},
  year         = {{2011}},
}

@inbook{2662,
  author       = {{Dannewitz, Christian and al, et}},
  booktitle    = {{Architecture and Design for the Future Internet}},
  title        = {{{How to manage and Search/Retrieve Information Objects}}},
  year         = {{2011}},
}

@inbook{2663,
  author       = {{Dannewitz, Christian and al, et}},
  booktitle    = {{Architecture and Design for the Future Internet}},
  title        = {{{Integrating Generic Paths and NetInf}}},
  year         = {{2011}},
}

@inproceedings{26660,
  abstract     = {{During rescue scenarios it is indispensable to obtain an overview of the situation. Unmanned aerial vehicles (UAVs) can gather the necessary information in a fast and efficient way. This paper presents an approach for path planning in 3D environments offering a solution to explore disaster areas including, e.g., partially or completely destroyed buildings. Using multiple UAVs decreases the time needed to receive a complete overview if the problem of coordination and task allocation is solved. We present an approach for the use of multiple UAVs. The UAVs work in a distributed manner without any central coordination instance and cover the exploration of terrains as well as goal-oriented path planning. When using multiple UAVs redundant exploration is avoided through the use of inter-UAV-communication. The approach is based on potential fields and uses the simplicity of the gradient method to calculate paths for fast exploration of the terrain.
}},
  author       = {{Rasche, Christoph and Stern, Claudius and Kleinjohann, Lisa and Kleinjohann, Bernd}},
  booktitle    = {{The 5th International Conference on Automation, Robotics and Applications (ICARA 2011)}},
  title        = {{{A Distributed Multi-UAV Path Planning Approach for 3D Environments}}},
  year         = {{2011}},
}

@inproceedings{26663,
  author       = {{Mathews, Emi and Graf, Tobias and Kulathunga, K. S. S. B.}},
  booktitle    = {{Sixth International ICST Conference on Bio-Inspired Models of Network, Information, and Computing Systems}},
  publisher    = {{Lecture Notes of ICST}},
  title        = {{{A Bio-inspired Coverage and Connectivity Maintenance Algorithm}}},
  year         = {{2011}},
}

@inproceedings{26667,
  author       = {{Kuznik, Christoph and Müller, Wolfgang}},
  booktitle    = {{Proc. of the 8th International SoC Design Conference 2011 (ISOCC 2011)}},
  title        = {{{Aspect enhanced functional coverage driven verification in the SystemC HDVL}}},
  year         = {{2011}},
}