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Oliver Bringmann 0001
Person information
- affiliation: University of Tübingen, Department of Computer Science, Germany
Other persons with the same name
- Oliver Bringmann 0002 — Dresden University of Technology, Germany
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2020 – today
- 2024
- [j18]Patrick Schmid
, Paul Palomero Bernardo
, Christoph Gerum
, Oliver Bringmann
:
GOURD: Tensorizing Streaming Applications to Generate Multi-Instance Compute Platforms. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(11): 4166-4177 (2024) - [c198]Yannick Braatz, Taha Soliman, Shubham Rai
, Dennis Sebastian Rieber, Oliver Bringmann:
CoNAX: Towards Comprehensive Co-Design Neural Architecture Search Using HW Abstractions. ASAP 2024: 8-16 - [c197]Axel Jantsch, Song Han, Lin Meng, Oliver Bringmann, Haotian Tang, Shang Yang, Hengyi Li, Matthias Wess, Martin Lechner:
Special Session: Estimation and Optimization of DNNs for Embedded Platforms. CODES+ISSS 2024: 21-30 - [c196]Christoph Groß, Tin Stribor Sohn, Oliver Bringmann:
Integration and Optimization of EV Charging Processes in a Decentralized Local Energy Trading Market. COINS 2024: 1-7 - [c195]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: 1-5 - [c194]Federico Nicolás Peccia, Alexander Viehl, Oliver Bringmann:
DIAPASON: Differentiable Allocation, Partitioning and Fusion of Neural Networks for Distributed Inference. DATE 2024: 1-6 - [c193]Federico Nicolás Peccia, Svetlana Pavlitska, Tobias Fleck, Oliver Bringmann:
Efficient Edge AI: Deploying Convolutional Neural Networks on FPGA with the Gemmini Accelerator. DSD 2024: 418-426 - [c192]Julia Werner
, Bhavya Kohli, Paul Palomero Bernardo, Christoph Gerum, Oliver Bringmann:
Energy-Efficient Seizure Detection Suitable for Low-Power Applications. IJCNN 2024: 1-8 - [c191]Jan Novacek, Ali Ahari, Tobias Müller, Sebastian Reiter, Alexander Viehl, Oliver Bringmann:
Ontology-Supported AI Model and Dataset Management. INDIN 2024: 1-6 - [c190]Sven Teufel, Jörg Gamerdinger, Jan-Patrick Kirchner, Georg Volk, Oliver Bringmann:
Collective Perception Datasets for Autonomous Driving: A Comprehensive Review. IV 2024: 1548-1555 - [c189]Jo Laufenberg, Heiner Graser, Thomas Kropf, Oliver Bringmann:
Simulation and Detection of Bus-Off Attacks in CAN. IV 2024: 3078-3084 - [c188]Alexander Louis-Ferdinand Jung
, Jannik Steinmetz, Jonathan Gietz, Konstantin Lübeck
, Oliver Bringmann
:
It's All About PR - Smart Benchmarking AI Accelerators Using Performance Representatives. SAMOS 2024: 59-75 - [c187]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. VTC Fall 2024: 1-7 - [i28]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 abs/2402.00069 (2024) - [i27]Christian Reichenbächer, Jochen Hipp, Oliver Bringmann:
Statistical Modelling of Driving Scenarios in Road Traffic using Fleet Data of Production Vehicles. CoRR abs/2404.06288 (2024) - [i26]Oliver Bause, Paul Palomero Bernardo, Oliver Bringmann:
A Configurable and Efficient Memory Hierarchy for Neural Network Hardware Accelerator. CoRR abs/2404.15823 (2024) - [i25]Federico Nicolás Peccia
, Oliver Bringmann:
Embedded Distributed Inference of Deep Neural Networks: A Systematic Review. CoRR abs/2405.03360 (2024) - [i24]Sven Teufel, Jörg Gamerdinger, Jan-Patrick Kirchner, Georg Volk, Oliver Bringmann:
Collective Perception Datasets for Autonomous Driving: A Comprehensive Review. CoRR abs/2405.16973 (2024) - [i23]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 abs/2406.08330 (2024) - [i22]Julia Werner, Bhavya Kohli, Paul Palomero Bernardo, Christoph Gerum, Oliver Bringmann:
Energy-Efficient Seizure Detection Suitable for low-power Applications. CoRR abs/2406.16948 (2024) - [i21]Evgenia Rusak, Patrik Reizinger, Attila Juhos, Oliver Bringmann, Roland S. Zimmermann, Wieland Brendel:
InfoNCE: Identifying the Gap Between Theory and Practice. CoRR abs/2407.00143 (2024) - [i20]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 abs/2407.07740 (2024) - [i19]Jörg Gamerdinger, Sven Teufel, Patrick Schulz, Stephan Amann, Jan-Patrick Kirchner, Oliver Bringmann:
SCOPE: A Synthetic Multi-Modal Dataset for Collective Perception Including Physical-Correct Weather Conditions. CoRR abs/2408.03065 (2024) - [i18]Sven Teufel, Jörg Gamerdinger, Georg Volk, Oliver Bringmann:
MR3D-Net: Dynamic Multi-Resolution 3D Sparse Voxel Grid Fusion for LiDAR-Based Collective Perception. CoRR abs/2408.06137 (2024) - [i17]Federico Nicolás Peccia, Svetlana Pavlitska, Tobias Fleck, Oliver Bringmann:
Efficient Edge AI: Deploying Convolutional Neural Networks on FPGA with the Gemmini Accelerator. CoRR abs/2408.07404 (2024) - [i16]Konstantin Lübeck, Alexander Louis-Ferdinand Jung, Felix Wedlich, Mika Markus Müller, Federico Nicolás Peccia, Felix Thömmes, Jannik Steinmetz, Valentin Biermaier, Adrian Frischknecht, Paul Palomero Bernardo, Oliver Bringmann:
Automatic Generation of Fast and Accurate Performance Models for Deep Neural Network Accelerators. CoRR abs/2409.08595 (2024) - [i15]Pascal Zwick, Kevin Rösch, Marvin Klemp, Oliver Bringmann:
Context-Aware Full Body Anonymization using Text-to-Image Diffusion Models. CoRR abs/2410.08551 (2024) - 2023
- [j17]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): 287-293 (2023) - [j16]Simon Garhofer
, Oliver Bringmann:
Using an A*-based framework for decomposing combinatorial optimization problems to employ NISQ computers. Quantum Inf. Process. 22(10): 357 (2023) - [c186]Yannick Braatz, Dennis Sebastian Rieber, Taha Soliman, Oliver Bringmann:
Simulation-driven Latency Estimations for Multi-core Machine Learning Accelerators. AICAS 2023: 1-5 - [c185]Yannick Braatz, Dennis Sebastian Rieber, Taha Soliman, Oliver Bringmann:
SimPyler: A Compiler-Based Simulation Framework for Machine Learning Accelerators. ASAP 2023: 213-220 - [c184]Federico Nicolás Peccia
, Oliver Bringmann
:
Integration of a systolic array based hardware accelerator into a DNN operator auto-tuning framework. CODAI 2023: 21-26 - [c183]Christoph Groß, Florian Gehring, Oliver Bringmann:
Towards Sustainable Energy Communities: Local Optimization of Battery Usage in P2P Energy Trading. COINS 2023: 1-7 - [c182]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: 1-8 - [c181]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: 1-7 - [c180]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: 417-424 - [c179]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: 1828-1834 - [c178]Patrick Schulz, Alexander Viehl, Oliver Bringmann:
Fast Environment Generation Methods for Virtual Testing. ITSC 2023: 3135-3141 - [c177]Jo Laufenberg, Thomas Kropf, Oliver Bringmann:
CAN Simulation Framework - From Classic CAN to CAN XL. ITSC 2023: 3343-3348 - [c176]Jörg Gamerdinger, Sven Teufel, Georg Volk, Oliver Bringmann:
CoLD Fusion: A Real-time Capable Spline-based Fusion Algorithm for Collective Lane Detection. IV 2023: 1-8 - [c175]Jo Laufenberg, Susanne Throner, Thomas Kropf, Oliver Bringmann:
Attack Simulation and Adaptation in CAN for Training and Evaluation of IDS. IV 2023: 1-6 - [c174]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: 1-6 - [c173]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: 174-183 - [i14]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 abs/2309.05380 (2023) - [i13]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 abs/2310.07895 (2023) - 2022
- [j15]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) - [c172]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: 27-28 - [c171]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: 808-813 - [c170]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: 365-369 - [c169]Georg Volk, Jörg Gamerdinger, Alexander von Bernuth, Sven Teufel, Oliver Bringmann:
Environment-aware Optimization of Track-to-Track Fusion for Collective Perception. ITSC 2022: 2385-2392 - [c168]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: 134-142 - [c167]Jo Laufenberg, Thomas Kropf, Oliver Bringmann:
A Framework for CAN Communication and Attack Simulation. VTC Spring 2022: 1-7 - [c166]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: 1-7 - [i12]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 abs/2203.03515 (2022) - [i11]Dennis Rieber, Moritz Reiber, Oliver Bringmann, Holger Fröning:
HW-Aware Initialization of DNN Auto-Tuning to Improve Exploration Time and Robustness. CoRR abs/2205.15568 (2022) - [i10]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 abs/2209.03807 (2022) - [i9]Federico Nicolás Peccia
, Oliver Bringmann:
Integration of a systolic array based hardware accelerator into a DNN operator auto-tuning framework. CoRR abs/2212.03034 (2022) - 2021
- [j14]Joscha Benz
, Oliver Bringmann
:
Scenario-Aware Program Specialization for Timing Predictability. ACM Trans. Archit. Code Optim. 18(4): 54:1-54:26 (2021) - [c165]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: 11-20 - [c164]Anwesh Mohanty
, Adrian Frischknecht
, Christoph Gerum
, Oliver Bringmann
:
Behavior of Keyword Spotting Networks Under Noisy Conditions. ICANN (1) 2021: 369-378 - [c163]Leon Hielscher, Alexander Bloeck, Alexander Viehl, Sebastian Reiter, Marc Staiger, Oliver Bringmann:
Platform Generation for Edge AI Devices with Custom Hardware Accelerators. INDIN 2021: 1-8 - [c162]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: 1049-1056 - [c161]Alexander von Bernuth, Georg Volk, Oliver Bringmann:
Augmenting Image Data Sets With Water Spray Caused by Vehicles on Wet Roads. ITSC 2021: 3055-3060 - [c160]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: 1-11 - [c159]Alessandro Cornaglia, Alexander Viehl, Oliver Bringmann:
Accurate LLVM IR to Binary CFGs Mapping for Simulation of Optimized Embedded Software. SAMOS 2021: 3-15 - [i8]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 abs/2104.12928 (2021) - [i7]Sebastian Reiter, Marc Zeller, Kai Höfig, Alexander Viehl, Oliver Bringmann, Wolfgang Rosenstiel:
Verification of Component Fault Trees Using Error Effect Simulations. CoRR abs/2106.03368 (2021) - [i6]Anwesh Mohanty, Adrian Frischknecht, Christoph Gerum, Oliver Bringmann:
Behavior of Keyword Spotting Networks Under Noisy Conditions. CoRR abs/2109.07930 (2021) - 2020
- [j13]Johannes Mast
, Stefan Rädle
, Joachim Gerlach, Oliver Bringmann:
A computational intelligence based approach for optimized operation scheduling of energy plants. Autom. 68(2): 118-129 (2020) - [j12]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): 957-1007 (2020) - [j11]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): 3311 (2020) - [j10]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): 4240-4251 (2020) - [j9]Raúl Camposano, Oliver Bringmann:
Wolfgang Rosenstiel. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(11): 4308 (2020) - [c158]Alessandro Cornaglia, Md. Shakib Hasan, Alexander Viehl, Oliver Bringmann, Wolfgang Rosenstiel:
JIT-Based Context-Sensitive Timing Simulation for Efficient Platform Exploration. ASP-DAC 2020: 369-374 - [c157]Ivan Melendez-Vazquez, Rolando Dülling, Oliver Bringmann:
Multipath Temporal Convolutional Network for Remaining Useful Life Estimation. IEEE BigData 2020: 4137-4146 - [c156]Christoph Groß
, Mark Schwed, Stefan Müller, Oliver Bringmann:
enerDAG - Towards a DLT-based Local Energy Trading Platform. COINS 2020: 1-8 - [c155]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: 53-69 - [c154]Jo Laufenberg, Thomas Kropf, Oliver Bringmann:
Automated Graph-Based Fault Injection Into Virtual Prototypes for Robustness Evaluation. ETS 2020: 1-2 - [c153]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: 561-568 - [c152]Philipp Schlicker, Oliver Bringmann:
Gate-Level Models for Fast Cross-Level Power Density Estimation. ACM Great Lakes Symposium on VLSI 2020: 507-512 - [c151]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: 1-4 - [c150]Georg Volk, Jörg Gamerdinger, Alexander von Bernuth, Oliver Bringmann:
A Comprehensive Safety Metric to Evaluate Perception in Autonomous Systems. ITSC 2020: 1-8 - [c149]Steffen Schneider, Evgenia Rusak, Luisa Eck, Oliver Bringmann, Wieland Brendel, Matthias Bethge:
Improving robustness against common corruptions by covariate shift adaptation. NeurIPS 2020 - [i5]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 abs/2001.06057 (2020) - [i4]Steffen Schneider, Evgenia Rusak, Luisa Eck, Oliver Bringmann, Wieland Brendel, Matthias Bethge:
Improving robustness against common corruptions by covariate shift adaptation. CoRR abs/2006.16971 (2020)
2010 – 2019
- 2019
- [j8]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): 2921-2933 (2019) - [c148]Kumar Vijay Mishra, Zora Slavik, Oliver Bringmann:
ReMCW: Reduced Bandwidth FMCW Radar for Autonomous Driving. ACSSC 2019: 1427-1431 - [c147]Konstantin Lübeck
, Oliver Bringmann
:
A Heterogeneous and Reconfigurable Embedded Architecture for Energy-Efficient Execution of Convolutional Neural Networks. ARCS 2019: 267-280 - [c146]Dustin Peterson, Oliver Bringmann:
Fully-automated synthesis of power management controllers from UPF. ASP-DAC 2019: 76-81 - [c145]Alessandro Cornaglia, Alexander Viehl, Oliver Bringmann, Wolfgang Rosenstiel:
SIMULTime: Context-sensitive timing simulation on intermediate code representation for rapid platform explorations. ASP-DAC 2019: 526-531 - [c144]Ivan Melendez
, Rolando Dölling, Oliver Bringmann:
Self-supervised Multi-stage Estimation of Remaining Useful Life for Electric Drive Units. IEEE BigData 2019: 4402-4411 - [c143]Johannes Mast
, Stefan Rädle
, Joachim Gerlach
, Oliver Bringmann
:
Ant Colony Optimization for Optimized Operation Scheduling of Combined Heat and Power Plants. EvoApplications 2019: 90-105 - [c142]Vladimir Herdt, Daniel Große
, Rolf Drechsler
, Christoph Gerum, Alexander Jung, Joscha Benz, Oliver Bringmann, Michael Schwarz, Dominik Stoffel, Wolfgang Kunz:
Systematic RISC-V based Firmware Design⋆. FDL 2019: 1-8 - [c141]Ivan Melendez-Vazquez
, Rolando Dölling, Oliver Bringmann:
Fault Diagnosis Approach for Pedelec Drive Units Based on Support Vector Machines. ICCAD 2019: 1-6 - [c140]Sidney Körper
, Roland Herberth, Frank Gauterin, Oliver Bringmann:
Harmonizing Heterogeneous Diagnostic Data of a Vehicle Fleet for Data-Driven Analytics. ICCVE 2019: 1-6 - [c139]Jan Novacek, Alexander Viehl, Oliver Bringmann, Wolfgang Rosenstiel:
Ontology-based Requirements Transformation. ISSE 2019: 1-8 - [c138]Alexander von Bernuth, Georg Volk, Oliver Bringmann:
Simulating Photo-realistic Snow and Fog on Existing Images for Enhanced CNN Training and Evaluation. ITSC 2019: 41-46 - [c137]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: 285-292 - [c136]Georg Volk, Alexander von Bernuth, Oliver Bringmann:
Environment-aware Development of Robust Vision-based Cooperative Perception Systems. IV 2019: 126-133 - [c135]Jens Rudolf, Manuel Strobel, Joscha Benz, Christian Haubelt, Martin Radetzki, Oliver Bringmann:
Automated Sensor Firmware Development - Generation, Optimization, and Analysis. MBMV 2019: 1-12 - [c134]Arthur Kühlwein, Anton Paule, Leon Hielscher, Wolfgang Rosenstiel, Oliver Bringmann:
Firmware Synthesis for Ultra-Thin IoT Devices Based on Model Integration. MoDELS (Companion) 2019: 339-346 - [c133]Arthur Kühlwein, Sebastian Reiter, Wolfgang Rosenstiel, Oliver Bringmann:
Bridging XML and UML - An Automated Framework. MODELSWARD 2019: 378-385 - [c132]Dustin Peterson, Oliver Bringmann:
Power-Gating Models for Rapid Design Exploration. NEWCAS 2019: 1-4 - [c131]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: 62-66 - [i3]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 abs/1907.07484 (2019) - 2018
- [j7]Ali Ahari
, Alexander Viehl, Oliver Bringmann, Wolfgang Rosenstiel:
Mission profile-based assessment of semiconductor technologies for automotive applications. Microelectron. Reliab. 91: 129-138 (2018) - [c130]Zora Slavik, Oliver Bringmann, Wolfgang Rosenstiel, Yonina C. Eldar:
Implications and methods for co-existing automotive radar and communication systems. ACSSC 2018: 952-956 - [c129]Dustin Peterson, Yannick Boekle, Oliver Bringmann:
Detecting non-functional circuit activity in SoC designs. ASP-DAC 2018: 464-469 - [c128]Joscha Benz, Christoph Gerum, Oliver Bringmann:
Advancing source-level timing simulation using loop acceleration. DATE 2018: 1393-1398 - [c127]Yasamin Mahmoodi, Sebastian Reiter, Alexander Viehl, Oliver Bringmann, Wolfgang Rosenstiel:
Attack Surface Modeling and Assessment for Penetration Testing of IoT System Designs. DSD 2018: 177-181 - [c126]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: 247-254 - [c125]Yumin Zhou, Sebastian Burg, Oliver Bringmann, Wolfgang Rosenstiel:
A software reconfigurable assertion checking unit for run-time error detection. ETS 2018: 1-6 - [c124]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: 9-16 - [c123]Aljoscha Kirchner, Jan-Hendrik Oetjens, Oliver Bringmann:
Using SysML for Modelling and Code Generation for Smart Sensor ASICs. FDL 2018: 5-16 - [c122]Ulrich Baehr, Marvin Freier,