@inproceedings{PhanSchmidBelzneretal.2019, author = {Phan, Thomy and Schmid, Kyrill and Belzner, Lenz and Gabor, Thomas and Feld, Sebastian and Linnhoff-Popien, Claudia}, title = {Distributed Policy Iteration for Scalable Approximation of Cooperative Multi-Agent Policies}, booktitle = {AAMAS '19: Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems}, publisher = {International Foundation for Autonomous Agents and Multiagent Systems}, address = {Richland}, isbn = {978-1-4503-6309-9}, url = {https://www.ifaamas.org/Proceedings/aamas2019/forms/contents.htm}, pages = {2162 -- 2164}, year = {2019}, language = {en} } @inproceedings{MarzahlAubrevilleVoigtetal.2019, author = {Marzahl, Christian and Aubreville, Marc and Voigt, J{\"o}rn and Maier, Andreas}, title = {Classification of leukemic b-lymphoblast cells from blood smear microscopic images with an attention-based deep learning method and advanced augmentation techniques}, booktitle = {ISBI 2019 C-NMC challenge: classification in cancer cell imaging}, publisher = {Springer}, address = {Singapore}, isbn = {978-981-15-0797-7}, issn = {2195-271X}, doi = {https://doi.org/10.1007/978-981-15-0798-4_2}, pages = {13 -- 22}, year = {2019}, language = {en} } @article{PirklCenciniKurzawskietal.2022, author = {Pirkl, Carolin and Cencini, Matteo and Kurzawski, Jan W. and Waldmannstetter, Diana and Li, Hongwei and Menzel, Marion Irene}, title = {Learning residual motion correction for fast and robust 3D multiparametric MRI}, volume = {2022}, pages = {102387}, journal = {Medical Image Analysis}, number = {77}, publisher = {Elsevier}, address = {Amsterdam}, issn = {1361-8423}, doi = {https://doi.org/10.1016/j.media.2022.102387}, year = {2022}, abstract = {Voluntary and involuntary patient motion is a major problem for data quality in clinical routine of Magnetic Resonance Imaging (MRI). It has been thoroughly investigated and, yet it still remains unresolved. In quantitative MRI, motion artifacts impair the entire temporal evolution of the magnetization and cause errors in parameter estimation. Here, we present a novel strategy based on residual learning for retrospective motion correction in fast 3D whole-brain multiparametric MRI. We propose a 3D multiscale convolutional neural network (CNN) that learns the non-linear relationship between the motion-affected quantitative parameter maps and the residual error to their motion-free reference. For supervised model training, despite limited data availability, we propose a physics-informed simulation to generate self-contained paired datasets from a priori motion-free data. We evaluate motion-correction performance of the proposed method for the example of 3D Quantitative Transient-state Imaging at 1.5T and 3T. We show the robustness of the motion correction for various motion regimes and demonstrate the generalization capabilities of the residual CNN in terms of real-motion in vivo data of healthy volunteers and clinical patient cases, including pediatric and adult patients with large brain lesions. Our study demonstrates that the proposed motion correction outperforms current state of the art, reliably providing a high, clinically relevant image quality for mild to pronounced patient movements. This has important implications in clinical setups where large amounts of motion affected data must be discarded as they are rendered diagnostically unusable.}, language = {en} } @article{NanDelSerWalshetal.2022, author = {Nan, Yang and Del Ser, Javier and Walsh, Simon and Sch{\"o}nlieb, Carola and Roberts, Michael and Selby, Ian and Howard, Kit and Owen, John and Neville, Jon and Guiot, Julien and Ernst, Benoit and Pastor, Ana and Alberich-Bayarri, Angel and Menzel, Marion Irene and Walsh, Sean and Vos, Wim and Flerin, Nina and Charbonnier, Jean-Paul and Rikxoort, Eva van and Chatterjee, Avishek and Woodruff, Henry and Lambin, Philippe and Cerd{\´a}-Alberich, Leonor and Mart{\´i}-Bonmat{\´i}, Luis and Herrera, Francisco and Yang, Guang}, title = {Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions}, volume = {2022}, journal = {Information Fusion}, number = {82}, publisher = {Elsevier}, address = {Amsterdam}, issn = {1566-2535}, doi = {https://doi.org/10.1016/j.inffus.2022.01.001}, pages = {99 -- 122}, year = {2022}, abstract = {Removing the bias and variance of multicentre data has always been a challenge in large scale digital healthcare studies, which requires the ability to integrate clinical features extracted from data acquired by different scanners and protocols to improve stability and robustness. Previous studies have described various computational approaches to fuse single modality multicentre datasets. However, these surveys rarely focused on evaluation metrics and lacked a checklist for computational data harmonisation studies. In this systematic review, we summarise the computational data harmonisation approaches for multi-modality data in the digital healthcare field, including harmonisation strategies and evaluation metrics based on different theories. In addition, a comprehensive checklist that summarises common practices for data harmonisation studies is proposed to guide researchers to report their research findings more effectively. Last but not least, flowcharts presenting possible ways for methodology and metric selection are proposed and the limitations of different methods have been surveyed for future research}, language = {en} } @inproceedings{AubrevilleBertramKlopfleischetal.2019, author = {Aubreville, Marc and Bertram, Christof and Klopfleisch, Robert and Maier, Andreas}, title = {Augmented mitotic cell count using field of interest proposal}, booktitle = {Bildverarbeitung f{\"u}r die Medizin 2019, Algorithmen - Systeme - Anwendungen, Proceedings des Workshops vom 17. bis 19. M{\"a}rz 2019 in L{\"u}beck}, editor = {Handels, Heinz and Deserno, Thomas Martin and Maier, Andreas and Maier-Hein, Klaus H. and Palm, Christoph and Tolxdorff, Thomas}, publisher = {Springer Vieweg}, address = {Wiesbaden}, isbn = {978-3-658-25325-7}, doi = {https://doi.org/10.1007/978-3-658-25326-4_71}, pages = {321 -- 326}, year = {2019}, language = {en} } @inproceedings{AubrevilleGoncalvesKnipferetal.2019, author = {Aubreville, Marc and Goncalves, Miguel and Knipfer, Christian and Oetter, Nicolai and W{\"u}rfl, Tobias and Neumann, Helmut and Stelzle, Florian and Bohr, Christopher and Maier, Andreas}, title = {Transferability of deep learning algorithms for malignancy detection in confocal laser endomicroscopy images from different anatomical locations of the upper gastrointestinal tract}, booktitle = {Biomedical Engineering Systems and Technologies}, publisher = {Springer}, address = {Cham}, isbn = {978-3-030-29195-2}, issn = {1865-0929}, doi = {https://doi.org/10.1007/978-3-030-29196-9_4}, pages = {67 -- 85}, year = {2019}, language = {en} } @inproceedings{MarzahlAubrevilleBertrametal.2020, author = {Marzahl, Christian and Aubreville, Marc and Bertram, Christof and Gerlach, Stefan and Maier, Jennifer and Voigt, J{\"o}rn and Hill, Jenny and Klopfleisch, Robert and Maier, Andreas}, title = {Is crowd-algorithm collaboration an advanced alternative to crowd-sourcing on cytology slides?}, booktitle = {Bildverarbeitung f{\"u}r die Medizin 2020, Algorithmen - Systeme - Anwendungen. Proceedings des Workshops vom 15. bis 17. M{\"a}rz 2020 in Berlin}, editor = {Tolxdorff, Thomas and Deserno, Thomas Martin and Handels, Heinz and Maier, Andreas and Maier-Hein, Klaus H. and Palm, Christoph}, publisher = {Springer Vieweg}, address = {Wiesbaden}, isbn = {978-3-658-29266-9}, doi = {https://doi.org/10.1007/978-3-658-29267-6_5}, pages = {26 -- 31}, year = {2020}, language = {en} } @inproceedings{AubrevilleBertramJabarietal.2020, author = {Aubreville, Marc and Bertram, Christof and Jabari, Samir and Marzahl, Christian and Klopfleisch, Robert and Maier, Andreas}, title = {Inter-species, inter-tissue domain adaptation for mitotic figure assessment}, booktitle = {Bildverarbeitung f{\"u}r die Medizin 2020, Algorithmen - Systeme - Anwendungen. Proceedings des Workshops vom 15. bis 17. M{\"a}rz 2020 in Berlin}, subtitle = {learning new tricks from old dogs}, editor = {Tolxdorff, Thomas and Deserno, Thomas Martin and Handels, Heinz and Maier, Andreas and Maier-Hein, Klaus H. and Palm, Christoph}, publisher = {Springer Vieweg}, address = {Wiesbaden}, isbn = {978-3-658-29266-9}, doi = {https://doi.org/10.1007/978-3-658-29267-6_1}, pages = {1 -- 7}, year = {2020}, language = {en} } @inproceedings{HahnPhanGaboretal.2019, author = {Hahn, Carsten and Phan, Thomy and Gabor, Thomas and Belzner, Lenz and Linnhoff-Popien, Claudia}, title = {Emergent Escape-based Flocking behavior using Multi-Agent Reinforcement Learning}, pages = {isal_a_00226}, booktitle = {Artificial Life Conference Proceedings}, publisher = {MIT Press}, address = {Cambridge}, doi = {https://doi.org/10.1162/isal_a_00226}, pages = {598 -- 605}, year = {2019}, language = {en} } @inproceedings{GaborIlliumMattauschetal.2019, author = {Gabor, Thomas and Illium, Steffen and Mattausch, Andy and Belzner, Lenz and Linnhoff-Popien, Claudia}, title = {Self-Replication in Neural Networks}, pages = {isal_a_00197}, booktitle = {Artificial Life Conference Proceedings}, publisher = {MIT Press}, address = {Cambridge}, doi = {https://doi.org/10.1162/isal_a_00197}, pages = {424 -- 431}, year = {2019}, language = {en} } @inproceedings{PhanBelznerKiermeieretal.2019, author = {Phan, Thomy and Belzner, Lenz and Kiermeier, Marie and Friedrich, Markus and Schmid, Kyrill and Linnhoff-Popien, Claudia}, title = {Memory Bounded Open-Loop Planning in Large POMDPs Using Thompson Sampling}, volume = {33}, booktitle = {AAAI-19 / IAAI-19 / EAAI-20 Proceedings}, number = {1}, publisher = {AAAI Press}, address = {Palo Alto}, issn = {2374-3468}, doi = {https://doi.org/10.1609/aaai.v33i01.33017941}, pages = {7941 -- 7948}, year = {2019}, language = {en} } @inproceedings{FeldSedlmeierFriedrichetal.2019, author = {Feld, Sebastian and Sedlmeier, Andreas and Friedrich, Markus and Franz, Jan and Belzner, Lenz}, title = {Bayesian Surprise in Indoor Environments}, booktitle = {SIGSPATIAL '19: Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems}, publisher = {ACM}, address = {New York}, isbn = {978-1-4503-6909-1}, doi = {https://doi.org/10.1145/3347146.3359358}, year = {2019}, language = {en} } @article{PosorBelznerKnapp2019, author = {Posor, Jorrit Enzio and Belzner, Lenz and Knapp, Alexander}, title = {Joint Action Learning for Multi-Agent Cooperation using Recurrent Reinforcement Learning}, volume = {4}, journal = {Digitale Welt}, number = {1}, publisher = {Digitale Welt Academy}, address = {M{\"u}nchen}, issn = {2569-1996}, doi = {https://doi.org/10.1007/s42354-019-0239-y}, pages = {79 -- 84}, year = {2019}, language = {en} } @inproceedings{GaborSuenkelRitzetal.2020, author = {Gabor, Thomas and S{\"u}nkel, Leo and Ritz, Fabian and Phan, Thomy and Belzner, Lenz and Roch, Christoph and Feld, Sebastian and Linnhoff-Popien, Claudia}, title = {The Holy Grail of Quantum Artificial Intelligence: Major Challenges in Accelerating the Machine Learning Pipeline}, booktitle = {ICSEW'20 : Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops}, publisher = {ACM}, address = {New York}, isbn = {978-1-4503-7963-2}, doi = {https://doi.org/10.1145/3387940.3391469}, pages = {456 -- 461}, year = {2020}, language = {en} } @article{GaborSedlmeierPhanetal.2020, author = {Gabor, Thomas and Sedlmeier, Andreas and Phan, Thomy and Ritz, Fabian and Kiermeier, Marie and Belzner, Lenz and Kempter, Bernhard and Klein, Cornel and Sauer, Horst and Schmid, Reiner and Wieghardt, Jan and Zeller, Marc and Linnhoff-Popien, Claudia}, title = {The scenario coevolution paradigm}, volume = {22}, journal = {International Journal on Software Tools for Technology Transfer}, subtitle = {adaptive quality assurance for adaptive systems}, number = {4}, publisher = {Springer}, address = {Berlin}, issn = {1433-2787}, doi = {https://doi.org/10.1007/s10009-020-00560-5}, pages = {457 -- 476}, year = {2020}, abstract = {Systems are becoming increasingly more adaptive, using techniques like machine learning to enhance their behavior on their own rather than only through human developers programming them. We analyze the impact the advent of these new techniques has on the discipline of rigorous software engineering, especially on the issue of quality assurance. To this end, we provide a general description of the processes related to machine learning and embed them into a formal framework for the analysis of adaptivity, recognizing that to test an adaptive system a new approach to adaptive testing is necessary. We introduce scenario coevolution as a design pattern describing how system and test can work as antagonists in the process of software evolution. While the general pattern applies to large-scale processes (including human developers further augmenting the system), we show all techniques on a smaller-scale example of an agent navigating a simple smart factory. We point out new aspects in software engineering for adaptive systems that may be tackled naturally using scenario coevolution. This work is a substantially extended take on Gabor et al. (International symposium on leveraging applications of formal methods, Springer, pp 137-154, 2018).}, language = {en} } @inproceedings{PhanBelznerGaboretal.2021, author = {Phan, Thomy and Belzner, Lenz and Gabor, Thomas and Sedlmeier, Andreas and Ritz, Fabian and Linnhoff-Popien, Claudia}, title = {Resilient multi-agent reinforcement learning with adversarial value decomposition}, volume = {35}, booktitle = {AAAI-21 / IAAI-21 / EAAI-21 Proceedings}, number = {13}, publisher = {AAAI Press}, address = {Palo Alto (CA)}, isbn = {978-1-57735-866-4}, issn = {2374-3468}, doi = {https://ojs.aaai.org/index.php/AAAI/article/view/17348}, pages = {11308 -- 11316}, year = {2021}, language = {en} } @article{BelznerWirsing2021, author = {Belzner, Lenz and Wirsing, Martin}, title = {Synthesizing safe policies under probabilistic constraints with reinforcement learning and Bayesian model checking}, volume = {2021}, pages = {102620}, journal = {Science of Computer Programming}, number = {206}, publisher = {Elsevier}, address = {Amsterdam}, issn = {0167-6423}, doi = {https://doi.org/10.1016/j.scico.2021.102620}, year = {2021}, language = {en} } @inproceedings{SchmidBelznerMuelleretal.2021, author = {Schmid, Kyrill and Belzner, Lenz and M{\"u}ller, Robert and Tochtermann, Johannes and Linnhoff-Popien, Claudia}, title = {Stochastic market games}, booktitle = {Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence}, publisher = {IJCAI}, address = {[s. l.]}, isbn = {978-0-9992411-9-6}, doi = {https://doi.org/10.24963/ijcai.2021/54}, pages = {384 -- 390}, year = {2021}, language = {en} } @article{PirklNunezGonzalezKofleretal.2021, author = {Pirkl, Carolin and Nunez-Gonzalez, Laura and Kofler, Florian and Endt, Sebastian and Grundl, Lioba and Golbabaee, Mohammad and G{\´o}mez, Pedro A. and Cencini, Matteo and Buonincontri, Guido and Schulte, Rolf F. and Smits, Marion and Wiestler, Benedikt and Menze, Bjoern H. and Menzel, Marion Irene and Hernandez-Tamames, Juan A.}, title = {Accelerated 3D whole-brain T1, T2, and proton density mapping}, volume = {63}, journal = {Neuroradiology}, subtitle = {feasibility for clinical glioma MR imaging}, number = {11}, publisher = {Springer}, address = {Berlin}, doi = {https://doi.org/10.1007/s00234-021-02703-0}, pages = {1831 -- 1851}, year = {2021}, abstract = {Purpose: Advanced MRI-based biomarkers offer comprehensive and quantitative information for the evaluation and characterization of brain tumors. In this study, we report initial clinical experience in routine glioma imaging with a novel, fully 3D multiparametric quantitative transient-state imaging (QTI) method for tissue characterization based on T1 and T2 values. Methods: To demonstrate the viability of the proposed 3D QTI technique, nine glioma patients (grade II-IV), with a variety of disease states and treatment histories, were included in this study. First, we investigated the feasibility of 3D QTI (6:25 min scan time) for its use in clinical routine imaging, focusing on image reconstruction, parameter estimation, and contrast-weighted image synthesis. Second, for an initial assessment of 3D QTI-based quantitative MR biomarkers, we performed a ROI-based analysis to characterize T1 and T2 components in tumor and peritumoral tissue. Results: The 3D acquisition combined with a compressed sensing reconstruction and neural network-based parameter inference produced parametric maps with high isotropic resolution (1.125 × 1.125 × 1.125 mm3 voxel size) and whole-brain coverage (22.5 × 22.5 × 22.5 cm3 FOV), enabling the synthesis of clinically relevant T1-weighted, T2-weighted, and FLAIR contrasts without any extra scan time. Our study revealed increased T1 and T2 values in tumor and peritumoral regions compared to contralateral white matter, good agreement with healthy volunteer data, and high inter-subject consistency. Conclusion: 3D QTI demonstrated comprehensive tissue assessment of tumor substructures captured in T1 and T2 parameters. Aiming for fast acquisition of quantitative MR biomarkers, 3D QTI has potential to improve disease characterization in brain tumor patients under tight clinical time-constraints.}, language = {en} } @inproceedings{BertramDonovanTecillaetal.2021, author = {Bertram, Christof and Donovan, Taryn and Tecilla, Marco and Bartenschlager, Florian and Fragoso-Garcia, Marco and Wilm, Frauke and Marzahl, Christian and Breininger, Katharina and Maier, Andreas and Klopfleisch, Robert and Aubreville, Marc}, title = {Dataset on bi- and multi-nucleated tumor cells in canine cutaneous mast cell tumors}, booktitle = {Bildverarbeitung f{\"u}r die Medizin 2021: Proceedings, German Workshop on Medical Image Computing, Regensburg, March 7-9, 2021}, publisher = {Springer Vieweg}, address = {Wiesbaden}, isbn = {978-3-658-33197-9}, issn = {1431-472X}, doi = {https://doi.org/10.1007/978-3-658-33198-6_33}, pages = {134 -- 139}, year = {2021}, language = {en} } @inproceedings{SchroeterRosenkranzEscalanteBetal.2020, author = {Schr{\"o}ter, H. and Rosenkranz, Tobias and Escalante-B, A. N. and Aubreville, Marc and Maier, Andreas}, title = {CLCNET: deep learning-based noise reduction for hearing aids using complex linear coding}, booktitle = {ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-1-5090-6631-5}, doi = {https://doi.org/10.1109/ICASSP40776.2020.9053563}, pages = {6949 -- 6953}, year = {2020}, language = {en} } @inproceedings{MarzahlBertramWilmetal.2021, author = {Marzahl, Christian and Bertram, Christof and Wilm, Frauke and Voigt, J{\"o}rn and Barton, Ann K. and Klopfleisch, Robert and Breininger, Katharina and Maier, Andreas and Aubreville, Marc}, title = {Cell detection for asthma on partially annotated whole slide images}, booktitle = {Bildverarbeitung f{\"u}r die Medizin 2021: Proceedings, German Workshop on Medical Image Computing, Regensburg, March 7-9, 2021}, subtitle = {learning to be EXACT}, publisher = {Springer Vieweg}, address = {Wiesbaden}, isbn = {978-3-658-33197-9}, issn = {1431-472X}, doi = {https://doi.org/10.1007/978-3-658-33198-6_36}, pages = {147 -- 152}, year = {2021}, language = {en} } @article{SchwarzWach2022, author = {Schwarz, Jan Oliver and Wach, Bernhard}, title = {The usage of cultural products in design thinking: An assessment of an underestimated approach}, volume = {25}, journal = {The Design Journal}, number = {1}, publisher = {Taylor \& Francis}, address = {London}, issn = {1460-6925}, doi = {https://doi.org/10.1080/14606925.2021.2005879}, pages = {4 -- 24}, year = {2022}, language = {en} } @inproceedings{deCandidoKollerGallitzetal.2020, author = {de Candido, Oliver and Koller, Michael and Gallitz, Oliver and Melz, Ron and Botsch, Michael and Utschick, Wolfgang}, title = {Towards feature validation in time to lane change classification using deep neural networks}, booktitle = {2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC)}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-1-7281-4149-7}, doi = {https://doi.org/10.1109/ITSC45102.2020.9294555}, year = {2020}, language = {en} } @book{BotschUtschick2020, author = {Botsch, Michael and Utschick, Wolfgang}, title = {Fahrzeugsicherheit und automatisiertes Fahren}, subtitle = {Methoden der Signalverarbeitung und des maschinellen Lernens}, publisher = {Hanser}, address = {M{\"u}nchen}, isbn = {978-3-446-46804-7}, doi = {https://doi.org/10.3139/9783446468047}, pages = {448}, year = {2020}, language = {de} } @inproceedings{GallitzdeCandidoBotschetal.2019, author = {Gallitz, Oliver and de Candido, Oliver and Botsch, Michael and Utschick, Wolfgang}, title = {Interpretable feature generation using deep neural networks and its application to lane change detection}, booktitle = {2019 IEEE Intelligent Transportation Systems Conference (ITSC)}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-1-5386-7024-8}, doi = {https://doi.org/10.1109/ITSC.2019.8917524}, pages = {3405 -- 3411}, year = {2019}, language = {en} } @inproceedings{SanchezMoralesBotschHuberetal.2019, author = {S{\´a}nchez Morales, Eduardo and Botsch, Michael and Huber, Bertold and Garc{\´i}a Higuera, Andr{\´e}s}, title = {High precision indoor navigation for autonomous vehicles}, booktitle = {2019 International Conference on Indoor Positioning and Indoor Navigation}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-1-7281-1788-1}, doi = {https://doi.org/10.1109/IPIN.2019.8911780}, year = {2019}, language = {en} } @inproceedings{ChaulwarAlHashimiBotschetal.2019, author = {Chaulwar, Amit and Al-Hashimi, Hussein and Botsch, Michael and Utschick, Wolfgang}, title = {Efficient hybrid machine learning algorithm for trajectory planning in critical traffic-scenarios}, booktitle = {The 4th International Conference on Intelligent Transportation Engineering, ICITE 2019}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-1-7281-4553-2}, doi = {https://doi.org/10.1109/ICITE.2019.8880266}, pages = {196 -- 202}, year = {2019}, language = {en} } @inproceedings{SanchezMoralesBotschHuberetal.2019, author = {S{\´a}nchez Morales, Eduardo and Botsch, Michael and Huber, Bertold and Garc{\´i}a Higuera, Andr{\´e}s}, title = {High precision indoor positioning by means of LiDAR}, booktitle = {2019 DGON Inertial Sensors and Systems (ISS), Proceedings}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-1-7281-1935-9}, doi = {https://doi.org/10.1109/ISS46986.2019.8943731}, year = {2019}, language = {en} } @inproceedings{SanchezMoralesMembarthGaulletal.2019, author = {S{\´a}nchez Morales, Eduardo and Membarth, Richard and Gaull, Andreas and Slusallek, Philipp and Dirndorfer, Tobias and Kammenhuber, Alexander and Lauer, Christoph and Botsch, Michael}, title = {Parallel Multi-Hypothesis Algorithm for Criticality Estimation in Traffic and Collision Avoidance}, booktitle = {2019 IEEE Intelligent Vehicles Symposium (IV)}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-1-7281-0560-4}, doi = {https://doi.org/10.1109/IVS.2019.8814015}, pages = {2164 -- 2171}, year = {2019}, language = {en} } @inproceedings{LiebhartDiehlEndisch2020, author = {Liebhart, Bernhard and Diehl, Simon and Endisch, Christian}, title = {Sensitivity analysis of battery cell aging estimators based on impedance spectroscopy regarding temperature compensation}, booktitle = {IEEE CCTA 2020, 4th IEEE Conference on Control Technology and Applications}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-1-7281-7140-1}, doi = {https://doi.org/10.1109/CCTA41146.2020.9206395}, pages = {699 -- 705}, year = {2020}, language = {en} } @inproceedings{BalasubramanianWurstBotschetal.2021, author = {Balasubramanian, Lakshman and Wurst, Jonas and Botsch, Michael and Deng, Ke}, title = {Traffic scenario clustering by iterative optimisation of self-supervised networks using a random forest activation pattern similarity}, booktitle = {2021 IEEE Intelligent Vehicles Symposium (IV)}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-1-7281-5394-0}, doi = {https://doi.org/10.1109/IV48863.2021.9575615}, pages = {682 -- 689}, year = {2021}, language = {en} } @inproceedings{KruberWurstSanchezMoralesetal.2019, author = {Kruber, Friedrich and Wurst, Jonas and S{\´a}nchez Morales, Eduardo and Chakraborty, Samarjit and Botsch, Michael}, title = {Unsupervised and Supervised Learning with the Random Forest Algorithm for Traffic Scenario Clustering and Classification}, booktitle = {2019 IEEE Intelligent Vehicles Symposium (IV)}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-1-7281-0560-4}, doi = {https://doi.org/10.1109/IVS.2019.8813994}, pages = {2463 -- 2470}, year = {2019}, language = {en} } @inproceedings{KettelgerdesBoehmElger2021, author = {Kettelgerdes, Marcel and B{\"o}hm, Lena and Elger, Gordon}, title = {Correlating Intrinsic Parameters and Sharpness for Condition Monitoring of Automotive Imaging Sensors}, booktitle = {2021 5th International Conference on System Reliability and Safety (ICSRS)}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-1-6654-0049-7}, doi = {https://doi.org/10.1109/ICSRS53853.2021.9660665}, pages = {298 -- 306}, year = {2021}, language = {en} } @inproceedings{AmmalladeneVenkataSeidelHalbeetal.2021, author = {Ammalladene-Venkata, Manogna and Seidel, Christian and Halbe, Omkar and Groitl, Christine and Stahl, Christoph}, title = {Deep Learning Based Obstacle Awareness from Airborne Optical Sensors}, booktitle = {77th Annual Vertical Flight Society Forum and Technology Display (FORUM 77), the Future of Vertical Flight}, publisher = {Vertical Flight Society}, address = {Fairfax}, isbn = {978-1-7138-3001-6}, doi = {https://doi.org/10.4050/F-0077-2021-16905}, year = {2021}, language = {en} } @inproceedings{SchneiderLiebhartEndisch2021, author = {Schneider, Dominik and Liebhart, Bernhard and Endisch, Christian}, title = {Adaptive Variance Estimation of Sensor Noise within a Sensor Data Fusion Framework}, booktitle = {2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC 2021) Proceedings}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-1-7281-9539-1}, issn = {2642-2077}, doi = {https://doi.org/10.1109/I2MTC50364.2021.9459790}, year = {2021}, language = {en} } @inproceedings{SchneiderEndisch2020, author = {Schneider, Dominik and Endisch, Christian}, title = {Robustness and reliability of model-based sensor data fusion in a lithium-ion battery system}, booktitle = {IEEE CCTA 2020, 4th IEEE Conference on Control Technology and Applications}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-1-7281-7140-1}, doi = {https://doi.org/10.1109/CCTA41146.2020.9206336}, pages = {685 -- 691}, year = {2020}, language = {en} } @book{BschorerKoeltzsch2021, author = {Bschorer, Sabine and K{\"o}ltzsch, Konrad}, title = {Technische Str{\"o}mungslehre}, subtitle = {Mit 262 Aufgaben und 31 Beispielen}, edition = {12., {\"u}berarbeitete und erg{\"a}nzte Auflage}, publisher = {Springer Vieweg}, address = {Wiesbaden}, isbn = {978-3-658-30407-2}, doi = {https://doi.org/10.1007/978-3-658-30407-2}, pages = {XV, 450}, year = {2021}, language = {de} } @article{SchneiderLiebhartEndisch2021, author = {Schneider, Dominik and Liebhart, Bernhard and Endisch, Christian}, title = {Active state and parameter estimation as part of intelligent battery systems}, volume = {2021}, pages = {102638}, journal = {Journal of Energy Storage}, number = {39}, publisher = {Elsevier}, address = {Amsterdam}, issn = {2352-1538}, doi = {https://doi.org/10.1016/j.est.2021.102638}, year = {2021}, language = {en} } @inproceedings{BalasubramanianKruberBotschetal.2021, author = {Balasubramanian, Lakshman and Kruber, Friedrich and Botsch, Michael and Deng, Ke}, title = {Open-Set Recognition based on the Combination of Deep Learning and Ensemble Method for Detecting Unknown Traffic Scenarios}, booktitle = {2021 IEEE Intelligent Vehicles Symposium (IV)}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-1-7281-5394-0}, doi = {https://doi.org/10.1109/IV48863.2021.9575433}, pages = {674 -- 681}, year = {2021}, language = {en} } @inproceedings{TerbrackStoettnerEndisch2020, author = {Terbrack, Christoph and St{\"o}ttner, Julia and Endisch, Christian}, title = {Operation of an externally excited synchronous machine with a hybrid multilevel inverter}, booktitle = {2020 22nd European Conference on Power Electronics and Applications (EPE'20 ECCE Europe)}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-9-0758-1536-8}, doi = {https://doi.org/10.23919/EPE20ECCEEurope43536.2020.9215895}, year = {2020}, language = {en} } @book{OPUS4-1417, title = {Autonome Shuttlebusse im {\"O}PNV}, subtitle = {Analysen und Bewertungen zum Fallbeispiel Bad Birnbach aus technischer, gesellschaftlicher und planerischer Sicht}, editor = {Riener, Andreas and Appel, Alexandra and Dorner, Wolfgang and Huber, Thomas and Kolb, Jan Christopher and Wagner, Harry}, publisher = {Springer Vieweg}, address = {Berlin}, isbn = {978-3-662-59406-3}, doi = {https://doi.org/10.1007/978-3-662-59406-3}, pages = {XI, 206}, year = {2020}, abstract = {Automatisiertes Fahren wird aktuell auf allen Ebenen diskutiert. Dieses Open Access Buch greift das Thema aus Sicht des {\"O}PNV auf und stellt Chancen und Risiken des Einsatzes automatisierter Shuttlebusse im Nahverkehr dar. Am Beispiel Bad Birnbach/Niederbayern wird gezeigt, welche Herausforderungen bei der Einf{\"u}hrung eines solchen Services zu erwarten sind und wie diese gel{\"o}st werden k{\"o}nnen. Dabei fokussiert sich das Buch auf die Vermittlung von im Feld erhobenen Daten, z.B. zu technischen Schwierigkeiten, Erfahrungsberichten von Anwohnern und G{\"a}sten, Akzeptanz in der Bev{\"o}lkerung, infrastrukturellen Anforderungen, etc. Konkrete Handlungsempfehlungen f{\"u}r St{\"a}dteplaner, {\"O}PNV-Betreiber/-Strategen oder Kommunen, die eine Einf{\"u}hrung automatisierter Busse in Erw{\"a}gung ziehen, runden das Werk ab.}, language = {de} } @inproceedings{SequeiraAfrajLugneretal.2019, author = {Sequeira, Gerald Joy and Afraj, Shahabaz and Lugner, Robert and Brandmeier, Thomas}, title = {LiDAR based prediction and contact based validation of crash parameters for a preemptive restraint strategy}, booktitle = {2019 IEEE International Conference on Vehicular Electronics and Safety (ICVES)}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-1-7281-3473-4}, doi = {https://doi.org/10.1109/ICVES.2019.8906354}, year = {2019}, language = {en} } @inproceedings{SchneiderLugnerBrandmeier2019, author = {Schneider, Kilian and Lugner, Robert and Brandmeier, Thomas}, title = {LiDAR-based contour estimation of oncoming vehicles in pre-crash scenarios}, booktitle = {2019 IEEE Intelligent Vehicles Symposium (IV)}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-1-7281-0560-4}, doi = {https://doi.org/10.1109/IVS.2019.8813825}, pages = {2272 -- 2277}, year = {2019}, language = {en} } @inproceedings{HeldSteinhauserKamannetal.2019, author = {Held, Patrick and Steinhauser, Dagmar and Kamann, Alexander and Koch, Andreas and Brandmeier, Thomas and Schwarz, Ulrich}, title = {Micro-Doppler extraction of bicycle pedaling movements using automotive radar}, booktitle = {2019 IEEE Intelligent Vehicles Symposium (IV)}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-1-7281-0560-4}, doi = {https://doi.org/10.1109/IVS.2019.8813828}, pages = {744 -- 749}, year = {2019}, language = {en} } @inproceedings{SteinhauserHeldKamannetal.2019, author = {Steinhauser, Dagmar and Held, Patrick and Kamann, Alexander and Koch, Andreas and Brandmeier, Thomas}, title = {Micro-Doppler extraction of pedestrian limbs for high resolution automotive radar}, booktitle = {2019 IEEE Intelligent Vehicles Symposium (IV)}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-1-7281-0560-4}, issn = {2642-7214}, doi = {https://doi.org/10.1109/IVS.2019.8813850}, pages = {764 -- 769}, year = {2019}, language = {en} } @inproceedings{ZaumseilSteinhauserHeldetal.2019, author = {Zaumseil, Patrick and Steinhauser, Dagmar and Held, Patrick and Kamann, Alexander and Brandmeier, Thomas}, title = {Radar-based near field environment perception using back projection algorithm}, booktitle = {European Microwave Week 2019: "Universality Through Microwaves" Conference Proceedings}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-2-87487-057-6}, url = {https://ieeexplore.ieee.org/document/8904568}, pages = {257 -- 260}, year = {2019}, language = {en} } @inproceedings{BhogarajuContiSchmidetal.2020, author = {Bhogaraju, Sri Krishna and Conti, Fosca and Schmid, Maximilian and Meier, Markus and Schweigart, Helmut and Elger, Gordon}, title = {Development of sinter paste with surface modified copper alloy particles for die-attach bonding}, booktitle = {ETG-Fachbericht 161, CIPS 2020, 11th International Conference on Integrated Power Electronics Systems}, publisher = {VDE Verlag}, address = {Berlin}, isbn = {978-3-8007-5226-3}, url = {https://www.vde-verlag.de/proceedings-de/455225100.html}, pages = {582 -- 587}, year = {2020}, language = {en} } @inproceedings{ZippeliusHanssLiuetal.2020, author = {Zippelius, Andreas and Hanss, Alexander and Liu, E and Schmid, Maximilian and P{\´e}rez-Vel{\´a}zquez, Judith and Elger, Gordon}, title = {Comparing prediction methods for LED failure measured with Transient Thermal Analysis}, booktitle = {2020 21st International Conference on Thermal, Mechanical and Multi-Physics Simulation and Experiments in Microelectronics and Microsystems (EuroSimE)}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-1-7281-6049-8}, doi = {https://doi.org/10.1109/EuroSimE48426.2020.9152657}, year = {2020}, language = {en} } @inproceedings{PandeyKuehnErdoganetal.2020, author = {Pandey, Amit and K{\"u}hn, Stephan and Erdogan, H{\"u}seyin and Schneider, Klaus and Elger, Gordon}, title = {Finite Element Analysis: A Tool for Investigation of Sharpness Changes in Automotive Cameras}, booktitle = {2020 21st International Conference on Thermal, Mechanical and Multi-Physics Simulation and Experiments in Microelectronics and Microsystems (EuroSimE)}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-1-7281-6049-8}, doi = {https://doi.org/10.1109/EuroSimE48426.2020.9152716}, year = {2020}, language = {en} } @inproceedings{LiuSchmidBhogarajuetal.2021, author = {Liu, E and Schmid, Maximilian and Bhogaraju, Sri Krishna and Elger, Gordon}, title = {Advanced location resolved transient thermal analysis}, booktitle = {2020 26th International Workshop on Thermal Investigations of ICs and Systems (THERMINIC)}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-1-7281-7643-7}, doi = {https://doi.org/10.1109/THERMINIC49743.2020.9420538}, pages = {191 -- 196}, year = {2021}, language = {en} } @inproceedings{SchmidBhogarajuRiedeletal.2021, author = {Schmid, Maximilian and Bhogaraju, Sri Krishna and Riedel, Andreas and Elger, Gordon}, title = {Development of an in-line capable transient thermal analysis equipment for a power module with five half bridges}, booktitle = {2020 26th International Workshop on Thermal Investigations of ICs and Systems (THERMINIC)}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-1-7281-7643-7}, doi = {https://doi.org/10.1109/THERMINIC49743.2020.9420493}, pages = {268 -- 273}, year = {2021}, language = {en} }