@proceedings{26198, editor = {{Gausemeier, Jürgen}}, publisher = {{Verlagsschriftenreihe des Heinz Nixdorf Instituts, Paderborn}}, title = {{{Vorausschau und Technologieplanung. 7. Symposium für Vorausschau und Technologieplanung}}}, volume = {{300}}, 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}}, } @article{26357, author = {{Sperling, Jan and Vogel, W.}}, issn = {{1050-2947}}, journal = {{Physical Review A}}, title = {{{Determination of the Schmidt number}}}, doi = {{10.1103/physreva.83.042315}}, year = {{2011}}, } @article{26358, author = {{Sperling, Jan and Vogel, W}}, issn = {{0031-8949}}, journal = {{Physica Scripta}}, title = {{{The Schmidt number as a universal entanglement measure}}}, doi = {{10.1088/0031-8949/83/04/045002}}, year = {{2011}}, } @article{2644, author = {{Diller, M. and Kundisch, Dennis and Späth, T.}}, journal = {{CORPORATE FINANCE biz}}, number = {{3}}, pages = {{153--156}}, title = {{{Zur Bewertung von Verlustgesellschaften nach den Änderungen des §8c KStG durch das Wachstumsbeschleunigungsgesetz}}}, 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}}, }