TY - CHAP A1 - Horn, Alexander A1 - Adam, Philip-Roman A1 - Schmidtner, Stefanie T1 - A Benchmark Dataset for Bus Travel and Dwell Time Prediction T2 - 2025 IEEE 28th International Conference on Intelligent Transportation Systems (ITSC) UR - https://doi.org/10.1109/ITSC60802.2025.11423733 Y1 - 2026 UR - https://doi.org/10.1109/ITSC60802.2025.11423733 SN - 979-8-3315-2418-0 SP - 2047 EP - 2054 PB - IEEE CY - Piscataway ER - TY - BOOK A1 - Brand, Klaus A1 - von Groote-Bidlingmaier, Carolin A1 - Kaiser, Peter A1 - Strauß, Albert A1 - Hutner, Petra T1 - ArcGIS 10 BT - das deutschsprachige Handbuch für ArcView und ArcEditor, mit zahlreichen Übungsbeispielen und Gutschein für die ESRI-Evaluation-DVD in der aktuellen Programmversion Y1 - 2011 SN - 978-3-87907-500-3 PB - Wichmann CY - Berlin ET - 3. Aufl. ER - TY - BOOK A1 - Hutner, Petra T1 - Transdisziplinärer Ansatz zur Förderung einer Circular Economy durch nachhaltiges Ressourcenmanagement BT - Identifikation von Handlungsoptionen und Evaluierung von Umweltauswirkungen der Abfallvermeidung Y1 - 2017 SN - 978-3-8300-9622-1 SN - 978-3-339-09622-7 N1 - Dissertation, Universität Augsburg, 2017 PB - Verlag Dr. Kovač CY - Hamburg ER - TY - JOUR A1 - Hutner, Petra A1 - Helbig, Christoph A1 - Stindt, Dennis A1 - Thorenz, Andrea A1 - Tuma, Axel T1 - Transdisciplinary Development of a Life Cycle–Based Approach to Measure and Communicate Waste Prevention Effects in Local Authorities JF - Journal of Industrial Ecology UR - https://doi.org/10.1111/jiec.12781 Y1 - 2018 UR - https://doi.org/10.1111/jiec.12781 SN - 1530-9290 VL - 22 IS - 5 SP - 1050 EP - 1065 PB - Wiley CY - Oxford ER - TY - INPR A1 - Wurst, Jonas A1 - Balasubramanian, Lakshman A1 - Botsch, Michael A1 - Utschick, Wolfgang T1 - Novelty Detection and Analysis of Traffic Scenario Infrastructures in the Latent Space of a Vision Transformer-Based Triplet Autoencoder UR - https://doi.org/10.48550/arXiv.2105.01924 Y1 - 2021 UR - https://doi.org/10.48550/arXiv.2105.01924 PB - arXiv CY - Ithaca ER - TY - INPR A1 - Bauder, Maximilian A1 - Paula, Daniel A1 - Pfeilschifter, Claus A1 - Petermeier, Franziska A1 - Kubjatko, Tibor A1 - Riener, Andreas A1 - Schweiger, Hans-Georg T1 - Influences of Vehicle Communication on Human Driving Reactions: A Simulator Study on Reaction Times and Behavior for Forensic Accident Analysis T2 - SSRN UR - https://dx.doi.org/10.2139/ssrn.4588275 Y1 - 2023 UR - https://dx.doi.org/10.2139/ssrn.4588275 PB - Elsevier CY - Amsterdam ER - TY - CHAP A1 - Wei, Zixiang A1 - Jiang, Yunruo A1 - Chan, Pak Hung A1 - Wang, Yiting A1 - Poledna, Yuri A1 - Donzella, Valentina T1 - Darwick: A Paired Dataset in Low-Light Driving Scenarios for Advanced Perceptual Enhancement and Benchmarking Assessment T2 - 2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC) UR - https://doi.org/10.1109/ITSC58415.2024.11414063 Y1 - 2026 UR - https://doi.org/10.1109/ITSC58415.2024.11414063 SN - 979-8-3315-0592-9 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Bauer, Ingrid A1 - Gleissner, Christian A1 - Kotonski, Julia ED - Albano, Alberto ED - Aluffi, Paolo ED - Bolognesi, Michele ED - Casagrande, Cinzia ED - Colombo, Elisabetta ED - Conte, Alberto ED - Grassi, Antonella ED - Pedrini, Claudio ED - Pirola, Gian Pietro ED - Verra, Alessandro T1 - On Rigid Manifolds of Kodaira Dimension 1 T2 - Perspectives on Four Decades of Algebraic Geometry, Volume 1: In Memory of Alberto Collino UR - https://doi.org/10.1007/978-3-031-66230-0_2 Y1 - 2025 UR - https://doi.org/10.1007/978-3-031-66230-0_2 SN - 978-3-031-66229-4 SN - 978-3-031-66230-0 SP - 43 EP - 71 PB - Birkhäuser CY - Cham ER - TY - JOUR A1 - Langer, Robin A1 - Tentrup, Thomas A1 - Schweiger, Hans-Georg T1 - A Vehicle-in-the-Loop Approach for Front Camera Verification Using Adaptive High Beam JF - IEEE Open Journal of Intelligent Transportation Systems N2 - As automated driving functions based on environmental sensors become increasingly deployed, ensuring reliable performance over the vehicle lifetime is essential. Currently, verification is carried out through internal self-diagnostics, which do not always operate correctly, and periodic technical inspection, which assesses only the test criteria installation and condition. Test criteria for function and efficiency of environmental sensors are neither standardized nor routinely assessed, creating the need for new testing approaches. Previous low-cost research approaches defined a method and conducted experiments to verify a vehicle’s front camera by displaying visual stimuli and evaluating the high beam assist response. Whereas the camera’s function could be verified through a basic qualitative check, the approach did not enable a quantitative evaluation of its performance. The aim of this work was therefore to advance this approach and investigate the added value of a Vehicle-in-the-Loop test bench for front camera verification. Three tests were conducted. A supporting method was introduced to reproducibly detect and define the position of the headlight cutoff line, enabling consistent evaluation of the vehicle’s reaction. With static camera stimuli (Test I), the function of the front camera could be verified, and the influence of the vehicle geometry on the reaction was assessed. Dynamic stimuli (Test II) additionally enabled an efficiency evaluation, allowing quantitative comparison between vehicles. However, transferring the stimuli into a reproducible virtual simulation (Test III) remained challenging, as the vehicles under test did not respond consistently. Further research is required to refine and simplify the method toward a standardized periodic technical inspection procedure. UR - https://doi.org/10.1109/OJITS.2026.3672438 Y1 - 2026 UR - https://doi.org/10.1109/OJITS.2026.3672438 SN - 2687-7813 PB - IEEE CY - New York ER - TY - CHAP A1 - Banerjee, Sweta A1 - Gosch, Timo A1 - Hester, Sara A1 - Weiss, Viktoria A1 - Conrad, Thomas A1 - Donovan, Taryn A1 - Porsche, Nils A1 - Ammeling, Jonas A1 - Stroblberger, Christoph A1 - Klopfleisch, Robert A1 - Kaltenecker, Christopher A1 - Bertram, Christof A1 - Breininger, Katharina A1 - Aubreville, Marc ED - Handels, Heinz ED - Breininger, Katharina ED - Deserno, Thomas Martin ED - Maier, Andreas ED - Maier-Hein, Klaus H. ED - Palm, Christoph ED - Tolxdorff, Thomas T1 - Enabling Fast and Mobile Histopathology Image Annotation through Swipeable Interfaces SWAN T2 - Bildverarbeitung für die Medizin 2026: Proceedings, German Conference on Medical Image Computing, Lübeck, March 15–17, 2026 UR - https://doi.org/10.1007/978-3-658-51100-5_42 Y1 - 2026 UR - https://doi.org/10.1007/978-3-658-51100-5_42 SN - 978-3-658-51100-5 SP - 203 EP - 209 PB - Springer Vieweg CY - Wiesbaden ER - TY - JOUR A1 - Göbel, Jan-Philipp A1 - Mertens, Jan Cedric A1 - Riener, Andreas T1 - Thermal imaging for the detection of driver impairment: evidence from a high-fidelity driving simulator study JF - Traffic Injury Prevention N2 - Objectives Driving under the influence of alcohol (DUI) remains a major contributor to fatal traffic crashes worldwide. With increasing regulatory pressure, such as requirements by Euro NCAP for in-vehicle impairment detection, there is a growing need for reliable, real-time monitoring solutions. While traditional DUI detection approaches focus on driving behavior or eye movement analysis, this study explores the potential of thermal imaging as a noninvasive alternative for detecting alcohol impairment. Methods We conducted a large-scale experimental study with 120 participants in a high-fidelity driving simulator, capturing thermal facial data under both non-impaired and alcohol-impaired conditions. A novel temperature extraction method was developed based on facial landmarks, incorporating multiple frames to reduce noise and improve temporal stability. Ambient cabin temperature was also recorded to normalize facial temperature readings and control for environmental influences. Several machine learning classifiers, including Logistic Regression, Random Forest, Support Vector Machine (SVM), and Gradient-Boosting Models, were trained using five facial temperature features (cheek, temple, ear, forehead, and nasal tip) and evaluated via five-fold subject-wise cross-validation. Results Significant temperature changes were observed in specific facial regions (particularly the cheek, ear, temple, and nasal tip) under alcohol influence. Among the evaluated models, Logistic Regression achieved the highest average classification accuracy (62%), while SVM demonstrated the most stable performance across folds. The model showed a slight conservative bias toward predicting the baseline (non-impaired) class, thereby reducing the risk of false positive classifications. Environmental conditions, including cabin temperature, were verified to be stable across both driving sessions, ensuring the validity of the physiological measurements. Conclusions This study demonstrates the feasibility of using thermal imaging for in-vehicle DUI detection under realistic conditions. Our contributions include the development of a robust facial temperature processing pipeline, the creation of a unique dataset collected under ecologically valid conditions, and a comprehensive comparison of seven state-of-the-art classification models. Thermal imaging represents a promising complementary modality for future driver monitoring systems focused on safety and impairment detection. UR - https://doi.org/10.1080/15389588.2026.2624006 Y1 - 2026 UR - https://doi.org/10.1080/15389588.2026.2624006 SN - 1538-9588 PB - Taylor & Francis CY - Philadelphia ER - TY - JOUR A1 - Ivan, Zsanett Zsofia A1 - Hirling, Dominik A1 - Grexa, Istvan A1 - Ammeling, Jonas A1 - Molnar, Csaba A1 - Micsik, Tamas A1 - Dobra, Katalin A1 - Kuthi, Levente A1 - Sukosd, Farkas A1 - Fillinger, Janos A1 - Moldvay, Judit A1 - Toth, Erika A1 - Aubreville, Marc A1 - Miczan, Vivien A1 - Horvath, Peter T1 - A Subphase-Labeled Mitotic Dataset for AI-powered Cell Division Analysis JF - Scientific Data N2 - Mitosis detection represents a critical task in digital pathology, as it plays an important role in the tumor grading and prognosis of patients. Manual determination is a labor-intensive task for practitioners with high interobserver variability, thus, automation is a priority. There has been substantial progress towards creating robust mitosis detection algorithms, primarily driven by the Mitosis Domain Generalization (MIDOG) challenges. Also, there has been growing interest in the molecular characterization of mitosis to achieve a more comprehensive understanding of its underlying mechanisms in a subphase-specific manner. We introduce a new mitotic figure dataset annotated with subphase information based on the MIDOG++ dataset as well as a previously unrepresented tumor domain to enhance the diversity and applicability. We envision a new perspective for domain generalization by improving model performance with subtyping mitosis, complemented with an atypical mitotic class. Our work has implications in two main areas: subtyping information can provide helpful information in mitosis detection, while also providing promising new directions in answering biological questions, such as molecular analysis of subphases. UR - https://doi.org/10.1038/s41597-026-07007-7 Y1 - 2026 UR - https://doi.org/10.1038/s41597-026-07007-7 SN - 2052-4463 SP - 17 PB - Springer CY - London ER - TY - JOUR A1 - Alessandro, Massimiliano A1 - Gleissner, Christian A1 - Kotonski, Julia T1 - Semi-projective representations and twisted representation groups JF - Communications in Algebra UR - https://doi.org/10.1080/00927872.2023.2211175 Y1 - 2023 UR - https://doi.org/10.1080/00927872.2023.2211175 SN - 0092-7872 SN - 1532-4125 VL - 51 IS - 10 SP - 4471 EP - 4480 PB - Taylor & Francis CY - Philadelphia ER - TY - INPR A1 - Schlamp, Anna-Lena A1 - Gerner, Jeremias A1 - Bogenberger, Klaus A1 - Huber, Werner A1 - Schmidtner, Stefanie T1 - ROSA: Roundabout Optimized Speed Advisory with Multi-Agent Trajectory Prediction in Multimodal Traffic UR - https://doi.org/10.48550/arXiv.2602.14780 Y1 - 2026 UR - https://doi.org/10.48550/arXiv.2602.14780 PB - arXiv CY - Ithaca ER - TY - CHAP A1 - Fend, Lars A1 - Fiala, Brigitte ED - Meyer, Anton ED - Fend, Lars ED - Specht, Mark T1 - Migros - Ein Stück Schweizer Nachbarschaft T2 - Kundenorientierung im Handel: Von GLOBUS, LANDS' END, Streamline, TESCO & Co. lernen Y1 - 1999 SN - 3-87150-695-8 SP - 173 EP - 200 PB - Deutscher Fachverlag CY - Frankfurt am Main ER - TY - CHAP A1 - Fend, Lars A1 - Fiala, Brigitte ED - Meyer, Anton ED - Fend, Lars ED - Specht, Mark T1 - TESCO - Efficient Consumer Response beginnt beim Verbraucher! T2 - Kundenorientierung im Handel: Von GLOBUS, LANDS' END, Streamline, TESCO & Co. lernen Y1 - 1999 SN - 3-87150-695-8 SP - 121 EP - 145 PB - Deutscher Fachverlag CY - Frankfurt am Main ER - TY - CHAP A1 - Fend, Lars A1 - Specht, Mark ED - Meyer, Anton ED - Fend, Lars ED - Specht, Mark T1 - Superquinn - Das Bumerang-Prinzip: Erfolgreiche Kundenbindung statt Neukundenakquisition T2 - Kundenorientierung im Handel: Von GLOBUS, LANDS' END, Streamline, TESCO & Co. lernen Y1 - 1999 SN - 3-87150-695-8 SP - 69 EP - 89 PB - Deutscher Fachverlag CY - Frankfurt am Main ER - TY - CHAP A1 - Meyer, Anton A1 - Fend, Lars ED - Meyer, Anton ED - Fend, Lars ED - Specht, Mark T1 - Streamline - Das Leben einer Zielgruppe vereinfachen T2 - Kundenorientierung im Handel: Von GLOBUS, LANDS' END, Streamline, TESCO & Co. lernen Y1 - 1999 SN - 3-87150-695-8 SP - 43 EP - 67 PB - Deutscher Fachverlag CY - Frankfurt am Main ER - TY - BOOK ED - Meyer, Anton ED - Fend, Lars ED - Specht, Mark T1 - Kundenorientierung im Handel BT - Von GLOBUS, LANDS' END, Streamline, TESCO & Co. lernen Y1 - 1999 SN - 3-87150-695-8 PB - Deutscher Fachverlag CY - Frankfurt am Main ER - TY - BOOK A1 - Hofbauer, Günter A1 - Sangl, Anita T1 - Professionelles Produktmanagement BT - Der prozessorientierte Ansatz, Rahmenbedingungen und Strategien Y1 - 2018 SN - 978-3-89578-473-6 PB - Publicis CY - Erlangen ET - 3., überarbeitete und erweiterte Auflage ER -