2014

LS Automation

  • Alexopoulos, A., Schmidt, T. and Badreddin, E.: Pursuit and evasion in a recursive nested behavioral control structure for unmanned aerial vehicles, 14th International Conference on Control, Automation and Systems (ICCAS). pp 1175-1180, Oktober 2014.
  • Alexopoulos, A., Schmidt, T. and Badreddin, E.: A pursuit-evasion game between unmanned aerial vehicles, 11th International Conference on Informatics in Control, Automation and Robotics (ICINCO) 02. pp 74-81, 2014.
  • Sadeghzadeh-Nokhodberiz, N., Poshtan, J., Wagner, A., Nordheimer, E. and Badreddin E.: Distributed observers for pose estimation in the presence of inertial sensory soft faults, ISA Transactions 53(4):1307 - 1319, Juli 2014.
  • Pott, P.P., Hessinger, M., Werthschützky, R., Schlaak, H.F., Nordheimer, E., Badreddin, E. and Wagner, A.: Active Surgeon Support during Orthopedic Surgery using the BOrEScOPE-Exoskeleton: System Design and First Results, International Journal on Advances in Life Sciences 6(3&4):272 - 278, 2014.
  • Sadeghzadeh-Nokhodberiz, N., Poshtan, J., Wagner, A., Nordheimer, E. and Badreddin E.: Cascaded Kalman and particle filters for photogrammetry based gyroscope drift and robot attitude estimation, ISA Transactions 53(2):524 - 532, März 2014.
  • Alexopoulos, A., Schmidt, T. and Badreddin, E.: Real-Time Implementation of Pursuit-Evasion Games Between Unmanned Aerial Vehicles, 11th International Conference on Informatics in Control, Automation and Robotics (ICINCO) 370. pp 147-163, 2014.
  • Pott, P.P., Hessinger, M., Werthschützky, R., Schlaak, H.F., Nordheimer, E., Badreddin, E. and Wagner, A.: BOrEScOPE – Exoskeleton for Active Surgeon Support during Orthopedic Surgery, The Seventh International Conference on Advances in Computer-Human Interactions (ACHI2014). pp 377-380, 2014.
  • Nordheimer, E., Wagner, A. and Badreddin, E.: Hierarchical Constraint-Based Singularity Avoidance for Multi-Axis Robots, PAMM 14(1):889–890, Dezember 2014.

LS Optoelektronik

  • Junker, A., Stenau, T. and Brenner, K.-H.: Scalar wave-optical reconstruction of plenoptic camera images. Applied Optics 53, No. 25, 5784 – 5790, 2014.
  • Auer, M. and Brenner, K.-H.: Localized input fields in rigorous coupled-wave analysis. J. Opt. Soc. Am. A, 31, No. 10, 2014.
  • Auer, M. and Brenner, K.-H.: Lokalität von Quellen und Senken in der exakten optischen Simulation. Online-Zeitschrift der Deutschen Gesellschaft für angewandte Optik e. V., ISSN: 1614-8436-urn:nbn:de:0287-2014-H004-1 115. Jahrestagung, 10.-14. Juni 2014, Karlsruhe, 2014.
  • Liu, X., Brenner, K.-H.: Einfluss der Kamera-Auflösung auf die spatiale Auflösung von Phase Retrieval. Online-Zeitschrift der Deutschen Gesellschaft für angewandte Optik e. V., ISSN: 1614-8436-urn:nbn:de:0287-2014-A012-3, 115. Jahrestagung, 10.-14. Juni 2014, Karlsruhe, 2014.
  • Paul, T., Brenner, K.-H.: Untersuchung und Anwendung von Schmelzlackstrukturen in der Mikrooptik. Online-Zeitschrift der Deutschen Gesellschaft für angewandte Optik e. V., ISSN: 1614-8436-urn:nbn:de:0287-2014-P034-8, 115. Jahrestagung, 10.-14. Juni 2014, Karlsruhe, 2014.
  • Liu, X., Brenner, K.-H.: Phase Retrieval with a Diffractive Micro Lens Array. International Journal of Optomechatronics, Taylor & Francis, Volume 8, Issue 4, pp 251-259, ISSN: 1559-9612 print / 1559-9620 online, DOI: 10.1080/15599612.2014.942926, 2014.

LS Rechnerarchitektur

  • Schatral, S., Lemke, F. and Brüning, U.: Design of a deterministic link initialization mechanism for serial LVDS interconnects. Journal of Instrumentation, doi:10.1088/1748-0221/9/03/C03022, VOL. 9, No. 03, pages C03022, March 2014.

LS Schaltungstechnik und Simulation

LS Bildverarbeitung, Mustererkennung & Computergrafik

  • Petra, S. and Schnörr, C.: "Average Case Recovery Analysis of Tomographic Compressive Sensing." arXiv:1208.5894v2 [math.NA], August 30 2014.
  • Kappes, J.H., Andres, B., Hamprecht, F.A., Schnörr, C., Nowozin, S., Batra, D., Kim, S., Kausler, B.X., Kröger, T., Lellmann, J., Komodakis, N., Savchynskyy, B. and Rother, C.: “A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems”, CoRR, abs/1404.0533, 2014.
  • Lenzen, F., Lellmann, J., Becker, F. and Schnörr, C.: “Solving QVIs for Image Restoration with Adaptive Constraint Sets“, SIAM Journal on Imaging Sciences (SIIMS), 2014.
  • Denitiu, A., Petra, S., Schnörr, Cl. and Schnörr, C.: “An Entropic Perturbation Approach to TV-Minimization for Limited-Data Tomography”, In Elena Barcucci, Andrea Frosini, and Simone Eds Rinaldi, editors, Discrete Geometry for Computer Imagery (DGCI) 2014, LNCS, 2014.
  • Rathke, F., Schnmidt, S. And Schnörr, C.: “Probabilistic Intra-Retinal Layer Segmentation in 3-D OCT Images Using Global Shape Regularization“ Medical Image Analysis, 18(5):781-794, 2014.
  • Kroeger, T., Kappes, J.H., Beier, T., Koethe, K. and Hamprecht, F.A: “Asymmetric Cuts: Joint Image Labeling and Partitioning“, In 36th German Conference on Pattern Recognition, 2014.
  • Bernhard Schmitzer and Schnörr, C.: “Globally Optimal Joint Image Segmentation and Shape Matching based on Wasserstein Modes“ http://arxiv.org/abs/1407.3956, 2014. Note: Preprint, 2014
  • Swoboda, P., Savchynskyy, B., Kappes, J.H. and Schnörr, C.: “Partial Optimality by Pruning for MAP-inference with General Graphical Models”, In IEEE Conference on Computer Vision and Pattern Recognition 2014.
  • Becker, F., Petra, S. and Schnörr, C.: “Optical Flow. In O. Scherzer, editor, Handbook of Mathematical Methods in Imaging”, Springer, 2nd edition, 2014.
  • Denitiu, A., Petra, S., Schnörr, Cl. and Schnörr, C.: „Phase Transitions and Cosparse Tomographic Recovery of Compound Solid Bodies From Few Projections“ Fundamenta Informaticae, 2014.
  • Kappes, J.H., Andres, B., Hamprecht, F.A, Schnörr, C., Nowozin, S., Batra, D., Kim, S., Kausler, B.X., Kröger T., Lellmann, J., Komodakis, N., Savchynskyy, B. and Rother C.: „A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems“, CoRR, abs/1404.0533, 2014.
  • Lenzen, F., Lellmann, J., Becker, F., and Schnörr, C.: „Solving QVIs for Image Restoration with Adaptive Constraint Sets“, SIAM Journal on Imaging Sciences (SIIMS), 2014.
  • Petra, S. and Schnörr, C.: „Average Case Recovery Analysis of Tomographic Compressive Sensing Linear Algebra and its Applications“ 441:168-198, 2014.
  • Rathke, F., Schnmidt, S. and Schnörr, C: „Probabilistic Intra-Retinal Layer Segmentation in 3-D OCT Images Using Global Shape Regularization“ Medical Image Analysis, 18(5):781-794, 2014.
  • Denitiu, A., Petra, S., Schnörr, Cl., and Schnörr, C.: „An Entropic Perturbation Approach to TV-Minimization for Limited-Data Tomography“, In Elena Barcucci, Andrea Frosini, and Simone Eds Rinaldi, editors, Discrete Geometry for Computer Imagery (DGCI) 2014.
  • Kappes, J.H., Beier, T. and Schnörr, C.: „MAP-Inference on Large Scale Higher-Order Discrete Graphical Models by Fusion Moves“ In International Workshop on Graphical Models in Computer Vision, 2014.
  • Kroeger, T., Kappes, J.H, Beier, T., Koethe, K. and Hamprecht, F.A.: „Asymmetric Cuts: Joint Image Labeling and Partitioning“ In 36th German Conference on Pattern Recognition, 2014.
  • Swoboda, P., Savchynskyy, B., Kappes, J.H. and Schnörr, C.: „Partial Optimality by Pruning for MAP-inference with General Graphical Models“ In IEEE Conference on Computer Vision and Pattern Recognition 2014.
  • Becker, F., Petra, S., and Schnörr, C.: „Optical Flow“, In O. Scherzer, editor, Handbook of Mathematical Methods in Imaging. Springer, 2nd edition, 2014.
  • Schmitzer, B. and Schnörr, C.: „Globally Optimal Joint Image Segmentation and Shape Matching based on Wasserstein Modes“ http://arxiv.org/abs/1407.3956, 2014.

LS Technische Informatik

  • Klenk, B., Oden, L. and Fröning, H.: "GPU-centric communication for improved efficiency", International Workshop on Green Programming, Computing, and Data Processing (GPCDP), in conjunction with the International Green Computing Conference 2014, Nov. 3, Dallas, TX, USA.
  • Oden, L., Fröning, H. and Pfreundt, F-.J.: “Infiniband-Verbs on GPU: A case study of controlling an Infiniband network device from the GPU” Fourth International Workshop on Accelerators and Hybrid Exascale Systems (AsHES), in conjunction with IPDPS 2014, May 19, 2014, Phoenix, USA.
  • Oden, L., Klenk, B. and Fröning, H.: “Energy-Efficient Collective Reduce and Allreduce Operations on Distributed GPUs”, 14th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), May 26-29, 2014, Delft, The Netherlands.
  • Klenk, B., Oden, L. and Fröning, H.: "Analyzing Put/Get APIs for Thread-collaborative Processors, Third International Workshop on Heterogeneous and Unconventional Cluster Architectures and Applications“, in conjunction with ICPP 2014, September 12, 2014, Minneapolis, USA.
  • Oden, L., Klenk, B. and Fröning, H.: „Energy-Efficient Collective Reduce and Allreduce Operations on Distributed GPUs“, 14th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), May 26-29, 2014, Chicago, IL, US.
  • Heinrich H., Ziegenhein P., Kamerling, C., Fröning, H. and Oelfke, U.: "GPU-accelerated ray-tracing for real-time treatment planning", Journal of Physics: Conference Series, 489, 1, 012050, 2014, IOP Publishing
  • Fröning, H.: „Data Movement Options in Accelerated Clusters“, D. an Mey et al. (Eds.): Euro-Par 2013 Workshops, LNCS 8374, pp. 418–422, 2014, Springer-Verlag Berlin Heidelberg 2014.
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