Ulrich Rückert 0001 - researchr alias

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Viewing Publication 1 - 60 from 60

2023

Expected Goals Prediction in Professional Handball using Synchronized Event and Positional DataMichael Adams 0002, Alexander David, Marc Hesse, Ulrich Rückert 0001. mmsports 2023: 83-91 [doi]

Digit Recognition Using Spiking Neural Networks on FPGAShamini Koravuna, Sanaullah, Thorsten Jungeblut, Ulrich Rückert 0001. iwann 2023: 406-417 [doi]

Evaluation of Spiking Neural Nets-Based Image Classification Using the Runtime Simulator RAVSimShamini Koravuna, Ulrich Rückert 0001, Thorsten Jungeblut. IJNS, 33(9), September 2023. [doi]

A Scalable Binary Neural Associative Memory on FPGAMarius Kortekamp, Sarah Pilz, Jens Hagemeyer, Ulrich Rückert 0001. iwann 2023: 381-393 [doi]

TinyML optimization for activity classification on the resource-constrained body sensor BI-VitalKevin Penner, Felix Wittenfeld, Bastian Steinhagen, Marc Hesse, Ulrich Rückert 0001. bsn 2023: 1-4 [doi]

Streamlined Training of GCN for Node Classification with Automatic Loss Function and Optimizer SelectionSanaullah, Shamini Koravuna, Ulrich Rückert 0001, Thorsten Jungeblut. eann 2023: 191-202 [doi]

Exploring spiking neural networks: a comprehensive analysis of mathematical models and applicationsSanaullah, Shamini Koravuna, Ulrich Rückert 0001, Thorsten Jungeblut. ficn, 17, February 2023. [doi]

µRT: A lightweight real-time middleware with integrated validation of timing constraintsThomas Schöpping, Svenja Kenneweg, Marc Hesse, Ulrich Rückert 0001. firai, 10, February 2023. [doi]

2022

ML4ProFlow: A Framework for Low-Code Data Processing from Edge to Cloud in Industrial ProductionChristian Klarhorst, Dennis Quirin, Marc Hesse, Ulrich Rückert 0001. etfa 2022: 1-4 [doi]

SNNs Model Analyzing and Visualizing Experimentation Using RAVSimSanaullah, Shamini Koravuna, Ulrich Rückert 0001, Thorsten Jungeblut. eann 2022: 40-51 [doi]

2021

2020

2019

Towards an SSVEP-BCI Controlled Smart HomeMichael Adams, Sadok Ben-Salem, Zahidul Islam, Arne Vogelsang, Thorsten Jungeblut, Ulrich Rückert 0001, Ivan Volosyak, Mihaly Benda, Abdul Saboor, André Frank Krause, Aya Rezeika, Felix Gembler, Piotr Stawicki, Marc Hesse, Kai Essig. SMC 2019: 2737-2742 [doi]

Constraint Exploration of Convolutional Network Architectures with NeuroevolutionJonas Dominik Homburg, Michael Adams, Michael Thies, Timo Korthals, Marc Hesse, Ulrich Rückert 0001. iwann 2019: 735-746 [doi]

FPGA-Based Vision Processing System for Automatic Online Player Tracking in Indoor SportsOmar W. Ibraheem, Arif Irwansyah, Jens Hagemeyer, Mario Porrmann, Ulrich Rückert 0001. vlsisp, 91(7):703-729, 2019. [doi]

Fiducial Marker based Extrinsic Camera Calibration for a Robot Benchmarking PlatformTimo Korthals, Daniel Wolf, Daniel Rudolph, Marc Hesse, Ulrich Rückert 0001. ecmr 2019: 1-6 [doi]

Multi-Modal Generative Models for Learning Epistemic Active SensingTimo Korthals, Daniel Rudolph, Jürgen Leitner, Marc Hesse, Ulrich Rückert 0001. icra 2019: 3319-3325 [doi]

Jointly Trained Variational Autoencoder for Multi-Modal Sensor FusionTimo Korthals, Marc Hesse, Jürgen Leitner, Andrew Melnik, Ulrich Rückert 0001. fusion 2019: 1-8 [doi]

Comparing Neuromorphic Systems by Solving Sudoku ProblemsChristoph Ostrau, Christian Klarhorst, Michael Thies, Ulrich Rückert 0001. ieeehpcs 2019: 521-527 [doi]

A Comparative Study of UWB-based True-Range Positioning Algorithms using Experimental DataCung Lian Sang, Michael Adams, Marc Hesse, Timm Hörmann, Timo Korthals, Ulrich Rückert 0001. wpnc 2019: 1-6 [doi]

A Bidirectional Object Tracking and Navigation System using a True-Range Multilateration MethodCung Lian Sang, Michael Adams, Timo Korthals, Timm Hörmann, Marc Hesse, Ulrich Rückert 0001. ipin 2019: 1-8 [doi]

Numerical and Experimental Evaluation of Error Estimation for Two-Way Ranging MethodsCung Lian Sang, Michael Adams, Timm Hörmann, Marc Hesse, Mario Porrmann, Ulrich Rückert 0001. sensors, 19(3):616, 2019. [doi]

2018

CoreVA-MPSoC: A Many-Core Architecture with Tightly Coupled Shared and Local Data MemoriesJohannes Ax, Gregor Sievers, Julian Daberkow, Martin Flasskamp, Marten Vohrmann, Thorsten Jungeblut, Wayne Kelly, Mario Porrmann, Ulrich Rückert 0001. tpds, 29(5):1030-1043, 2018. [doi]

Resource-efficient Reconfigurable Computer-on-Module for Embedded Vision ApplicationsDaniel Klimeck, Hanno Gerd Meyer, Jens Hagemeyer, Mario Porrmann, Ulrich Rückert 0001. asap 2018: 1-4 [doi]

Multi-Modal Detection and Mapping of Static and Dynamic Obstacles in Agriculture for Process EvaluationTimo Korthals, Mikkel Kragh, Peter Christiansen, Henrik Karstoft, Rasmus N. Jørgensen, Ulrich Rückert 0001. firai, 2018:28, 2018. [doi]

An Analytical Study of Time of Flight Error Estimation in Two-Way Ranging MethodsCung Lian Sang, Michael Adams, Timm Hormann, Marc Hesse, Mario Porrmann, Ulrich Rückert 0001. ipin 2018: 1-8 [doi]

Generic Architecture for Modular Real-time Systems in RoboticsThomas Schöpping, Timo Korthals, Marc Hesse, Ulrich Rückert 0001. icinco 2018: 413-420 [doi]

AMiRo: A Mini Robot as Versatile Teaching PlatformThomas Schöpping, Timo Korthals, Marc Hesse, Ulrich Rückert 0001. rie 2019: 177-188 [doi]

2017

Comparing Synchronous, Mesochronous and Asynchronous NoCs for GALS Based MPSoCsJohannes Ax, Nils Kucza, Marten Vohrmann, Thorsten Jungeblut, Mario Porrmann, Ulrich Rückert 0001. mcsoc 2017: 45-51 [doi]

FPGA-based multi-robot trackingArif Irwansyah, Omar W. Ibraheem, Jens Hagemeyer, Mario Porrmann, Ulrich Rückert 0001. jpdc, 107:146-161, 2017. [doi]

An Adaptive Acknowledgement On-demand Protocol for Wireless Sensor NetworksCung Lian Sang, Marc Hesse, Sebastian Zehe, Michael Adams, Timm Hörmann, Ulrich Rückert 0001. sensornets 2017: 174-181 [doi]

Binary Associative Memories as a Benchmark for Spiking Neuromorphic HardwareAndreas Stöckel, Christoph Jenzen, Michael Thies, Ulrich Rückert 0001. ficn, 2017:71, 2017. [doi]

Design-space exploration of ultra-low power CMOS logic gates in a 28 nm FD-SOI technologyMarten Vohrmann, Philippe Geisler, Thorsten Jungeblut, Ulrich Rückert 0001. ecctd 2017: 1-4 [doi]

2016

Towards a comprehensive power consumption model for wireless sensor nodesMarc Hesse, Michael Adams, Timm Hormann, Ulrich Rückert 0001. bsn 2016: 390-395 [doi]

A software assistant for user-centric calibration of a wireless body sensorTimm Hormann, Marc Hesse, Michael Adams, Ulrich Rückert 0001. bsn 2016: 183-188 [doi]

Detailed Estimation of Cognitive Workload with Reference to a Modern Working EnvironmentTimm Hörmann, Marc Hesse, Peter Christ, Michael Adams, Christian Menßen, Ulrich Rückert 0001. biostec 2017: 205-223 [doi]

Fine-Grained Prediction of Cognitive Workload in a Modern Working Environment by Utilizing Short-Term Physiological ParametersTimm Hörmann, Marc Hesse, Peter Christ, Michael Adams, Christian Menßen, Ulrich Rückert 0001. biostec 2016: 42-51 [doi]

Occupancy Grid Mapping with Highly Uncertain Range Sensors based on Inverse Particle FiltersTimo Korthals, Marvin Barther, Thomas Schöpping, Stefan Herbrechtsmeier, Ulrich Rückert 0001. icinco 2016: 192-200 [doi]

2015

Universelle Echtzeit-Ethernet Architektur zur Integration in rekonfigurierbare AutomatisierungssystemeJohannes Ax, Aurel Buda, Daniel Schneider, John Harttfel, Lars Dürkop, Thorsten Jungeblut, Jürgen Jasperneite, Andreas Vedral, Ulrich Rückert 0001. gi 2015: 1533-1544

Robust estimation of physical activity by adaptively fusing multiple parametersTimm Hormann, Peter Christ, Marc Hesse, Ulrich Rückert 0001. bsn 2015: 1-6 [doi]

A resource-efficient multi-camera GigE vision IP core for embedded vision processing platformsOmar W. Ibraheem, Arif Irwansyah, Jens Hagemeyer, Mario Porrmann, Ulrich Rückert 0001. reconfig 2015: 1-6 [doi]

FPGA-based circular hough transform with graph clustering for vision-based multi-robot trackingArif Irwansyah, Omar W. Ibraheem, Jens Hagemeyer, Mario Porrmann, Ulrich Rückert 0001. reconfig 2015: 1-8 [doi]

Evidence Grid Based Information Fusion for Semantic Classifiers in Dynamic Sensor NetworksTimo Korthals, Thilo Krause, Ulrich Rückert 0001. ml4cps 2016: 9-14 [doi]

AMiRo: A Mini Robot for Scientific ApplicationsThomas Schöpping, Timo Korthals, Stefan Herbrechtsmeier, Ulrich Rückert 0001. iwann 2015: 199-205 [doi]

Comparison of Shared and Private L1 Data Memories for an Embedded MPSoC in 28nm FD-SOIGregor Sievers, Julian Daberkow, Johannes Ax, Martin Flasskamp, Wayne Kelly, Thorsten Jungeblut, Mario Porrmann, Ulrich Rückert 0001. mcsoc 2015: 175-181 [doi]

Evaluation of interconnect fabrics for an embedded MPSoC in 28 nm FD-SOIGregor Sievers, Johannes Ax, Nils Kucza, Martin Flasskamp, Thorsten Jungeblut, Wayne Kelly, Mario Porrmann, Ulrich Rückert 0001. iscas 2015: 1925-1928 [doi]

A 65 nm standard cell library for ultra low-power applicationsMarten Vohrmann, Saikat Chatterjee, Sven Lütkemeier, Thorsten Jungeblut, Mario Porrmann, Ulrich Rückert 0001. ecctd 2015: 1-4 [doi]

2013

2012

Scalable and flexible vision-based multi-robot tracking systemAndry Tanoto, Hanyi Li, Ulrich Rückert 0001, Joaquin Sitte. IEEEisic 2012: 19-24 [doi]

2009

BeBot: A Modular Mobile Miniature Robot Platform Supporting Hardware Reconfiguration and Multi-standard CommunicationStefan Herbrechtsmeier, Ulf Witkowski, Ulrich Rückert 0001. fira 2009: 346-356 [doi]

AMiRESot - A New Robot Soccer League with Autonomous Miniature RobotsUlf Witkowski, Joaquin Sitte, Stefan Herbrechtsmeier, Ulrich Rückert 0001. fira 2009: 332-345 [doi]

1995

1989

VLSI technologies for artificial neural networksKarl Goser, Ulrich Hilleringmann, Ulrich Rückert 0001, Klaus Schumacher. micro, 9(6):28-44, 1989. [doi]

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1995

1989

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