Oliver Bringmann

ORCID

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 129

Top Venues

Karlsruhe Institute of Technology, Germany (PHD)

Education History

Karlsruhe Institute of Technology, Germany

PHD

Publications

Mika Markus Müller, Alexander Richard Manfred Borst, Konstantin Lübeck, Alexander Louis-Ferdinand Jung, Oliver Bringmann
Using the Abstract Computer Architecture Description Language to Model AI Hardware Accelerators. CoRR (2024)
Alexander Louis-Ferdinand Jung, Jannik Steinmetz, Jonathan Gietz, Konstantin Lübeck, Oliver Bringmann
It's all about PR - Smart Benchmarking AI Accelerators using Performance Representatives. CoRR (2024)
Christian Reichenbächer, Jochen Hipp, Oliver Bringmann
Statistical Modelling of Driving Scenarios in Road Traffic using Fleet Data of Production Vehicles. CoRR (2024)
Sven Teufel, Jörg Gamerdinger, Jan-Patrick Kirchner, Georg Volk, Oliver Bringmann
Collective Perception Datasets for Autonomous Driving: A Comprehensive Review. CoRR (2024)
Evgenia Rusak, Patrik Reizinger, Attila Juhos, Oliver Bringmann, Roland S. Zimmermann, Wieland Brendel
InfoNCE: Identifying the Gap Between Theory and Practice. CoRR (2024)
Jo Laufenberg, Heiner Graser, Thomas Kropf, Oliver Bringmann
Simulation and Detection of Bus-Off Attacks in CAN. IV (2024)
Federico Nicolás Peccia, Alexander Viehl, Oliver Bringmann
DIAPASON: Differentiable Allocation, Partitioning and Fusion of Neural Networks for Distributed Inference. DATE (2024)
Julia Werner, Bhavya Kohli, Paul Palomero Bernardo, Christoph Gerum, Oliver Bringmann
Energy-Efficient Seizure Detection Suitable for low-power Applications. CoRR (2024)
Paul Palomero Bernardo, Patrick Schmid, Oliver Bringmann, Mohammed Iftekhar, Babak Sadiye, Wolfgang Mueller, Andreas Koch, Eyck Jentzsch, Axel Sauer, Ingo Feldner, Wolfgang Ecker
A Scalable RISC-V Hardware Platform for Intelligent Sensor Processing. DATE (2024)
Oliver Bause, Paul Palomero Bernardo, Oliver Bringmann
A Configurable and Efficient Memory Hierarchy for Neural Network Hardware Accelerator. CoRR (2024)
Federico Nicolás Peccia, Oliver Bringmann
Embedded Distributed Inference of Deep Neural Networks: A Systematic Review. CoRR (2024)
Sven Teufel, Jörg Gamerdinger, Jan-Patrick Kirchner, Georg Volk, Oliver Bringmann
Collective Perception Datasets for Autonomous Driving: A Comprehensive Review. IV (2024)
Jörg Gamerdinger, Sven Teufel, Stephan Amann, Georg Volk, Oliver Bringmann
LSM: A Comprehensive Metric for Assessing the Safety of Lane Detection Systems in Autonomous Driving. CoRR (2024)
Christoph Groß, Florian Gehring, Oliver Bringmann
Towards Sustainable Energy Communities: Local Optimization of Battery Usage in P2P Energy Trading. COINS (2023)
Julia Werner, Christoph Gerum, Moritz Reiber, Jörg Nick, Oliver Bringmann
Precise localization within the GI tract by combining classification of CNNs and time-series analysis of HMMs. CoRR (2023)
Jörg Gamerdinger, Sven Teufel, Georg Volk, Oliver Bringmann
CoLD Fusion: A Real-time Capable Spline-based Fusion Algorithm for Collective Lane Detection. IV (2023)
Maximilian Kirschner, Federico Nicolás Peccia, Felix Thömmes, Victor Pazmino Betancourt, Oliver Bringmann, Jürgen Becker
Characterization of Execution Time Variability in FPGA-Based AI-Accelerators. DASC/PiCom/CBDCom/CyberSciTech (2023)
Julia Werner, Christoph Gerum, Moritz Reiber, Jörg Nick, Oliver Bringmann
Precise Localization Within the GI Tract by Combining Classification of CNNs and Time-Series Analysis of HMMs. MLMI@MICCAI (2) (2023)
Simon Garhofer, Oliver Bringmann
-based framework for decomposing combinatorial optimization problems to employ NISQ computers. Quantum Inf. Process. 22 (10) (2023)
Yannick Braatz, Dennis Sebastian Rieber, Taha Soliman, Oliver Bringmann
Simulation-driven Latency Estimations for Multi-core Machine Learning Accelerators. AICAS (2023)
Jannik Mehrke, Georg Volk, Yannik Stumpp, Oliver Bringmann, Anestis Terzis
Impacts of Image Compression on the Detection Quality of a Novel Real-Time Image Processing Platform. ITSC (2023)
Jo Laufenberg, Thomas Kropf, Oliver Bringmann
CAN Simulation Framework - From Classic CAN to CAN XL. ITSC (2023)
Patrick Schulz, Alexander Viehl, Oliver Bringmann
Fast Environment Generation Methods for Virtual Testing. ITSC (2023)
Jörg Gamerdinger, Sven Teufel, Georg Volk, Anna-Lisa Rüeck, Oliver Bringmann
Analyzing track management strategies for multi object tracking in cooperative autonomous driving scenarios. Autom. 71 (4) (2023)
Sven Teufel, Jörg Gamerdinger, Georg Volk, Christoph Gerum, Oliver Bringmann
Enhancing Robustness of LiDAR-Based Perception in Adverse Weather using Point Cloud Augmentations. IV (2023)
Sven Teufel, Jörg Gamerdinger, Georg Volk, Oliver Bringmann
Collective PV-RCNN: A Novel Fusion Technique using Collective Detections for Enhanced Local LiDAR-Based Perception. ITSC (2023)
Federico Nicolás Peccia, Oliver Bringmann
Integration of a systolic array based hardware accelerator into a DNN operator auto-tuning framework. CODAI (2023)
Tobias Fleck, Svetlana Pavlitska, Sven Nitzsche, Brian Pachideh, Federico Nicolás Peccia, Soikat Hasan Ahmed, Svea Marie Meyer, Mathis Richter, Kevin Broertjes, Emre Neftci, Jürgen Becker, Oliver Bringmann, J. Marius Zöllner
Low-Power Traffic Surveillance using Multiple RGB and Event Cameras: A Survey. ISC2 (2023)
Yannick Braatz, Dennis Sebastian Rieber, Taha Soliman, Oliver Bringmann
SimPyler: A Compiler-Based Simulation Framework for Machine Learning Accelerators. ASAP (2023)
Sven Teufel, Jörg Gamerdinger, Georg Volk, Oliver Bringmann
Collective PV-RCNN: A Novel Fusion Technique using Collective Detections for Enhanced Local LiDAR-Based Perception. CoRR (2023)
Jo Laufenberg, Susanne Throner, Thomas Kropf, Oliver Bringmann
Attack Simulation and Adaptation in CAN for Training and Evaluation of IDS. IV (2023)
Sven Teufel, Georg Volk, Alexander von Bernuth, Oliver Bringmann
Simulating Realistic Rain, Snow, and Fog Variations For Comprehensive Performance Characterization of LiDAR Perception. VTC Spring (2022)
Wolfgang Ecker, Peer Adelt, Wolfgang Müller, Reinhold Heckmann, Milos Krstic, Vladimir Herdt, Rolf Drechsler, Gerhard Angst, Ralf Wimmer, Andreas Mauderer, Rafael Stahl, Karsten Emrich, Daniel Mueller-Gritschneder, Bernd Becker, Philipp Scholl, Eyck Jentzsch, Jan Schlamelcher, Kim Grüttner, Paul Palomero Bernardo, Oliver Bringmann, Mihaela Damian, Julian Oppermann, Andreas Koch, Jörg Bormann, Johannes Partzsch, Christian Mayr, Wolfgang Kunz
The Scale4Edge RISC-V Ecosystem. DATE (2022)
Federico Nicolás Peccia, Oliver Bringmann
Integration of a systolic array based hardware accelerator into a DNN operator auto-tuning framework. CoRR (2022)
Konstantin Lübeck, Alexander Louis-Ferdinand Jung, Felix Wedlich, Oliver Bringmann
Work-in-Progress: Ultra-fast yet Accurate Performance Prediction for Deep Neural Network Accelerators. CASES (2022)
Christian Reichenbächer, Maximilian Rasch, Zafer Kayatas, Florian Wirthmüller, Jochen Hipp, Thao Dang, Oliver Bringmann
Identifying Scenarios in Field Data to Enable Validation of Highly Automated Driving Systems. CoRR (2022)
Evgenia Rusak, Steffen Schneider, George Pachitariu, Luisa Eck, Peter Vincent Gehler, Oliver Bringmann, Wieland Brendel, Matthias Bethge
If your data distribution shifts, use self-learning. Trans. Mach. Learn. Res. 2022 (2022)
Georg Volk, Jörg Gamerdinger, Alexander von Bernuth, Sven Teufel, Oliver Bringmann
Environment-aware Optimization of Track-to-Track Fusion for Collective Perception. ITSC (2022)
Christoph Gerum, Adrian Frischknecht, Tobias Hald, Paul Palomero Bernardo, Konstantin Lübeck, Oliver Bringmann
Hardware Accelerator and Neural Network Co-Optimization for Ultra-Low-Power Audio Processing Devices. DSD (2022)
Christoph Gerum, Adrian Frischknecht, Tobias Hald, Paul Palomero Bernardo, Konstantin Lübeck, Oliver Bringmann
Hardware Accelerator and Neural Network Co-Optimization for Ultra-Low-Power Audio Processing Devices. CoRR (2022)
Dennis Rieber, Moritz Reiber, Oliver Bringmann, Holger Fröning
HW-Aware Initialization of DNN Auto-Tuning to Improve Exploration Time and Robustness. CoRR (2022)
Christian Reichenbächer, Maximilian Rasch, Zafer Kayatas, Florian Wirthmüller, Jochen Hipp, Thao Dang, Oliver Bringmann
Identifying Scenarios in Field Data to Enable Validation of Highly Automated Driving Systems. VEHITS (2022)
Jo Laufenberg, Thomas Kropf, Oliver Bringmann
A Framework for CAN Communication and Attack Simulation. VTC Spring (2022)
Christoph Grimm, Frank Wawrzik, Alexander Louis-Ferdinand Jung, Konstantin Lübeck, Sebastian Post, Johannes Koch, Oliver Bringmann
APPEL - AGILA ProPErty and Dependency Description Language. MBMV (2021)
Alessandro Cornaglia, Alexander Viehl, Oliver Bringmann
Accurate LLVM IR to Binary CFGs Mapping for Simulation of Optimized Embedded Software. SAMOS (2021)
Leon Hielscher, Alexander Bloeck, Alexander Viehl, Sebastian Reiter, Marc Staiger, Oliver Bringmann
Platform Generation for Edge AI Devices with Custom Hardware Accelerators. INDIN (2021)
Anwesh Mohanty, Adrian Frischknecht, Christoph Gerum, Oliver Bringmann
Behavior of Keyword Spotting Networks Under Noisy Conditions. ICANN (1) (2021)
Oliver Bringmann, Wolfgang Ecker, Ingo Feldner, Adrian Frischknecht, Christoph Gerum, Timo Hämäläinen, Muhammad Abdullah Hanif, Michael J. Klaiber, Daniel Mueller-Gritschneder, Paul Palomero Bernardo, Sebastian Siegfried Prebeck, Muhammad Shafique
Automated HW/SW co-design for edge AI: state, challenges and steps ahead. CODES+ISSS (2021)
Sebastian Reiter, Marc Zeller, Kai Höfig, Alexander Viehl, Oliver Bringmann, Wolfgang Rosenstiel
Verification of Component Fault Trees Using Error Effect Simulations. CoRR (2021)
Joscha Benz, Oliver Bringmann
Scenario-Aware Program Specialization for Timing Predictability. ACM Trans. Archit. Code Optim. 18 (4) (2021)
Evgenia Rusak, Steffen Schneider, Peter V. Gehler, Oliver Bringmann, Wieland Brendel, Matthias Bethge
Adapting ImageNet-scale models to complex distribution shifts with self-learning. CoRR (2021)
Anwesh Mohanty, Adrian Frischknecht, Christoph Gerum, Oliver Bringmann
Behavior of Keyword Spotting Networks Under Noisy Conditions. CoRR (2021)
Alexander von Bernuth, Georg Volk, Oliver Bringmann
Augmenting Image Data Sets With Water Spray Caused by Vehicles on Wet Roads. ITSC (2021)
Georg Volk, Quentin Delooz, Florian A. Schiegg, Alexander von Bernuth, Andreas Festag, Oliver Bringmann
Towards Realistic Evaluation of Collective Perception for Connected and Automated Driving. ITSC (2021)
Georg Volk, Jörg Gamerdinger, Alexander von Bernuth, Oliver Bringmann
A Comprehensive Safety Metric to Evaluate Perception in Autonomous Systems. ITSC (2020)
Jo Laufenberg, Thomas Kropf, Oliver Bringmann
Automated Graph-Based Fault Injection Into Virtual Prototypes for Robustness Evaluation. ETS (2020)
Steffen Schneider, Evgenia Rusak, Luisa Eck, Oliver Bringmann, Wieland Brendel, Matthias Bethge
Improving robustness against common corruptions by covariate shift adaptation. CoRR (2020)
Steffen Schneider, Evgenia Rusak, Luisa Eck, Oliver Bringmann, Wieland Brendel, Matthias Bethge
Improving robustness against common corruptions by covariate shift adaptation. NeurIPS (2020)
Ulrich Baehr, Marvin Freier, Matthew Lewis, Wolfgang Rosenstiel, Oliver Bringmann
A New Method for Detecting Leaks in MEMS Accelerometers at Wafer-Level. IEEE SENSORS (2020)
Ivan Melendez-Vazquez, Rolando Dülling, Oliver Bringmann
Multipath Temporal Convolutional Network for Remaining Useful Life Estimation. IEEE BigData (2020)
Johannes Mast, Stefan Rädle, Joachim Gerlach, Oliver Bringmann
A computational intelligence based approach for optimized operation scheduling of energy plants. Autom. 68 (2) (2020)
Evgenia Rusak, Lukas Schott, Roland S. Zimmermann, Julian Bitterwolf, Oliver Bringmann, Matthias Bethge, Wieland Brendel
Increasing the robustness of DNNs against image corruptions by playing the Game of Noise. CoRR (2020)
Christoph Groß, Mark Schwed, Stefan Müller, Oliver Bringmann
enerDAG - Towards a DLT-based Local Energy Trading Platform. COINS (2020)
Philipp Schlicker, Oliver Bringmann
Gate-Level Models for Fast Cross-Level Power Density Estimation. ACM Great Lakes Symposium on VLSI (2020)
Alessandro Cornaglia, Md. Shakib Hasan, Alexander Viehl, Oliver Bringmann, Wolfgang Rosenstiel
JIT-Based Context-Sensitive Timing Simulation for Efficient Platform Exploration. ASP-DAC (2020)
Jan Novacek, Arthur Kühlwein, Sebastian Reiter, Alexander Viehl, Oliver Bringmann, Wolfgang Rosenstiel
Lemons: Leveraging Model-Based Techniques to Enable Non-Intrusive Semantic Enrichment in Wireless Sensor Networks. SEAA (2020)
Evgenia Rusak, Lukas Schott, Roland S. Zimmermann, Julian Bitterwolf, Oliver Bringmann, Matthias Bethge, Wieland Brendel
A Simple Way to Make Neural Networks Robust Against Diverse Image Corruptions. ECCV (3) (2020)
Kim Grüttner, Philipp A. Hartmann, Tiemo Fandrey, Kai Hylla, Daniel Lorenz, Stefan Hauck-Stattelmann, Björn Sander, Oliver Bringmann, Wolfgang Nebel, Wolfgang Rosenstiel
A Timed-Value Stream Based ESL Timing and Power Estimation and Simulation Framework for Heterogeneous MPSoCs. Int. J. Parallel Program. 48 (6) (2020)
Michael Kohler, Daniel W. O'Hagan, Matthias Weiss, David Wegner, Josef Worms, Oliver Bringmann
Statistical Analysis of Bistatic Radar Ground Clutter for Different German Rural Environments. Sensors 20 (11) (2020)
Raúl Camposano, Oliver Bringmann
Wolfgang Rosenstiel. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39 (11) (2020)
Paul Palomero Bernardo, Christoph Gerum, Adrian Frischknecht, Konstantin Lübeck, Oliver Bringmann
UltraTrail: A Configurable Ultralow-Power TC-ResNet AI Accelerator for Efficient Keyword Spotting. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39 (11) (2020)
Alessandro Cornaglia, Alexander Viehl, Oliver Bringmann, Wolfgang Rosenstiel
SIMULTime: Context-sensitive timing simulation on intermediate code representation for rapid platform explorations. ASP-DAC (2019)
Kumar Vijay Mishra, Zora Slavik, Oliver Bringmann
ReMCW: Reduced Bandwidth FMCW Radar for Autonomous Driving. ACSSC (2019)
Roland Herberth, Sidney Körper, Tim Stiesch, Frank Gauterin, Oliver Bringmann
Automated Scheduling for Optimal Parallelization to Reduce the Duration of Vehicle Software Updates. IEEE Trans. Veh. Technol. 68 (3) (2019)
Georg Volk, Stefan Müller, Alexander von Bernuth, Dennis Hospach, Oliver Bringmann
Towards Robust CNN-based Object Detection through Augmentation with Synthetic Rain Variations. ITSC (2019)
Claudio Michaelis, Benjamin Mitzkus, Robert Geirhos, Evgenia Rusak, Oliver Bringmann, Alexander S. Ecker, Matthias Bethge, Wieland Brendel
Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming. CoRR (2019)
Dustin Peterson, Oliver Bringmann
Power-Gating Models for Rapid Design Exploration. NEWCAS (2019)
Dustin Peterson, Oliver Bringmann
Fully-automated synthesis of power management controllers from UPF. ASP-DAC (2019)
Sidney Körper, Roland Herberth, Frank Gauterin, Oliver Bringmann
Harmonizing Heterogeneous Diagnostic Data of a Vehicle Fleet for Data-Driven Analytics. ICCVE (2019)
Michael Kohler, Alexander Saam, Josef Worms, Daniel W. O'Hagan, Jan Novacek, Oliver Bringmann
Delay Estimation for Time Synchronization of a Bistatic Transfer Function Measurement Setup to Single Received Pulses. SPA (2019)
Alexander von Bernuth, Georg Volk, Oliver Bringmann
Simulating Photo-realistic Snow and Fog on Existing Images for Enhanced CNN Training and Evaluation. ITSC (2019)
Johannes Mast, Stefan Rädle, Joachim Gerlach, Oliver Bringmann
Ant Colony Optimization for Optimized Operation Scheduling of Combined Heat and Power Plants. EvoApplications (2019)
Jan Novacek, Alexander Viehl, Oliver Bringmann, Wolfgang Rosenstiel
Ontology-based Requirements Transformation. ISSE (2019)
Vladimir Herdt, Daniel Große, Rolf Drechsler, Christoph Gerum, Alexander Jung, Joscha Benz, Oliver Bringmann, Michael Schwarz, Dominik Stoffel, Wolfgang Kunz
. FDL (2019)
Arthur Kühlwein, Sebastian Reiter, Wolfgang Rosenstiel, Oliver Bringmann
Bridging XML and UML - An Automated Framework. MODELSWARD (2019)
Jens Rudolf, Manuel Strobel, Joscha Benz, Christian Haubelt, Martin Radetzki, Oliver Bringmann
Automated Sensor Firmware Development - Generation, Optimization, and Analysis. MBMV (2019)
Konstantin Lübeck, Oliver Bringmann
A Heterogeneous and Reconfigurable Embedded Architecture for Energy-Efficient Execution of Convolutional Neural Networks. ARCS (2019)
Ivan Melendez, Rolando Dölling, Oliver Bringmann
Self-supervised Multi-stage Estimation of Remaining Useful Life for Electric Drive Units. IEEE BigData (2019)
Ivan Melendez-Vazquez, Rolando Dölling, Oliver Bringmann
Fault Diagnosis Approach for Pedelec Drive Units Based on Support Vector Machines. ICCAD (2019)
Georg Volk, Alexander von Bernuth, Oliver Bringmann
Environment-aware Development of Robust Vision-based Cooperative Perception Systems. IV (2019)
Arthur Kühlwein, Anton Paule, Leon Hielscher, Wolfgang Rosenstiel, Oliver Bringmann
Firmware Synthesis for Ultra-Thin IoT Devices Based on Model Integration. MoDELS (Companion) (2019)
Zora Slavik, Oliver Bringmann, Wolfgang Rosenstiel, Yonina C. Eldar
Implications and methods for co-existing automotive radar and communication systems. ACSSC (2018)
Vikas Agrawal, Marcel Frueh, Oliver Bringmann, Wolfgang Rosenstiel
Evaluating Optical Flow Vectors Under Varying Computer-Generated Snow Intensities and Pixel Density for Autonomous Vehicles. DSN Workshops (2018)
Ulrich Baehr, Marvin Freier, Matthew Lewis, Wolfgang Rosenstiel, Oliver Bringmann
Rapid Sensitivity Curve Measurement for MEMS Accelerometers. ICST (2018)
Yumin Zhou, Sebastian Burg, Oliver Bringmann, Wolfgang Rosenstiel
A software reconfigurable assertion checking unit for run-time error detection. ETS (2018)
Jan Novacek, Ali Ahari, Alessandro Cornaglia, Frederik Haxel, Alexander Viehl, Oliver Bringmann, Wolfgang Rosenstiel
Ontology-Supported Design Parameter Management for Change Impact Analysis. SEAA (2018)
Alexander von Bernuth, Georg Volk, Oliver Bringmann
Rendering Physically Correct Raindrops on Windshields for Robustness Verification of Camera-based Object Recognition. Intelligent Vehicles Symposium (2018)
Ali Ahari, Alexander Viehl, Oliver Bringmann, Wolfgang Rosenstiel
Mission profile-based assessment of semiconductor technologies for automotive applications. Microelectron. Reliab. 91 (2018)
Aljoscha Kirchner, Jan-Hendrik Oetjens, Oliver Bringmann
Using SysML for Modelling and Code Generation for Smart Sensor ASICs. FDL (2018)
Dustin Peterson, Yannick Boekle, Oliver Bringmann
Detecting non-functional circuit activity in SoC designs. ASP-DAC (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Oliver Bringmann