TY - CHAP A1 - Mion, Giorgio A1 - Loza Adaui, Cristian Rolando ED - Songini, Lucrezia ED - Pistoni, Anna ED - Barret, Pierre ED - Kunc, Martin H. T1 - The Effect of Mandatory Publication of Nonfinancial Disclosure in Europe on Sustainability Reporting Quality: First Insights about Italian and German Companies T2 - Non-Financial Disclosure and Integrated Reporting: Practices and Critical Issues UR - https://doi.org/10.1108/S1479-351220200000034005 Y1 - 2020 UR - https://doi.org/10.1108/S1479-351220200000034005 SN - 978-1-83867-963-7 SP - 55 EP - 80 PB - Emerald Publishing CY - Bingley ER - TY - CHAP A1 - Fifka, Matthias A1 - Loza Adaui, Cristian Rolando ED - O´Riordan, Linda ED - Zmuda, Piotr ED - Heinemann, Stefan T1 - Managing Stakeholders for the Sake of Business and Society T2 - New Perspectives on Corporate Social Responsibility: Locating the Missing Link UR - https://doi.org/10.1007/978-3-658-06794-6_4 Y1 - 2015 UR - https://doi.org/10.1007/978-3-658-06794-6_4 SN - 978-3-658-06794-6 SP - 71 EP - 87 PB - Springer Gabler CY - Wiesbaden ER - TY - CHAP A1 - Fifka, Matthias A1 - Loza Adaui, Cristian Rolando ED - O'Riordan, Linda ED - Zmuda, Piotr ED - Heinemann, Stefan T1 - Corporate Social Responsibility (CSR) Reporting—Administrative Burden or Competitive Advantage? T2 - New Perspectives on Corporate Social Responsibility: Locating the Missing Link UR - https://doi.org/10.1007/978-3-658-06794-6_15 Y1 - 2015 UR - https://doi.org/10.1007/978-3-658-06794-6_15 SN - 978-3-658-06794-6 SP - 285 EP - 300 PB - Springer Gabler CY - Wiesbaden ER - TY - CHAP A1 - Habisch, André A1 - Loza Adaui, Cristian Rolando ED - Osburg, Thomas ED - Schmidpeter, René T1 - A Social Capital Approach Towards Social Innovation T2 - Social Innovation: Solutions for a Sustainable Future UR - https://doi.org/10.1007/978-3-642-36540-9_6 Y1 - 2013 UR - https://doi.org/10.1007/978-3-642-36540-9_6 SN - 978-3-642-36540-9 SP - 65 EP - 74 PB - Springer CY - Berlin ER - TY - CHAP A1 - Niebisch, Michael A1 - Deinlein, Thomas A1 - Pfaller, Daniel A1 - German, Reinhard A1 - Djanatliev, Anatoli T1 - Impact of the Communication Direction on the Reliability of Vehicle-to-Everything (V2X) Communications T2 - 2020 IEEE Vehicular Networking Conference (VNC) UR - https://doi.org/10.1109/VNC51378.2020.9318416 Y1 - 2021 UR - https://doi.org/10.1109/VNC51378.2020.9318416 SN - 978-1-7281-9221-5 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Deinlein, Thomas A1 - German, Reinhard A1 - Djanatliev, Anatoli T1 - Evaluation of the 5G Data Plane for Advanced Vehicular Use Cases with 5G-Sim-V2I/N T2 - 2020 IEEE Vehicular Networking Conference (VNC) UR - https://doi.org/10.1109/VNC51378.2020.9318368 Y1 - 2021 UR - https://doi.org/10.1109/VNC51378.2020.9318368 SN - 978-1-7281-9221-5 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Brummer, Alexander A1 - Gütlein, Moritz A1 - Schäfer, Matthias A1 - German, Reinhard A1 - Djanatliev, Anatoli T1 - Experimental Evaluation of the N-Ray Ground Interference Model T2 - 2020 IEEE Vehicular Networking Conference (VNC) UR - https://doi.org/10.1109/VNC51378.2020.9318362 Y1 - 2021 UR - https://doi.org/10.1109/VNC51378.2020.9318362 SN - 978-1-7281-9221-5 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Gütlein, Moritz A1 - Djanatliev, Anatoli ED - De Rango, Floriano ED - Ören, Tuncer ED - Obaidat, Mohammad S. T1 - Modeling and Simulation as a Service using Apache Kafka T2 - Proceedings of the 10th International Conference on Simulation and Modeling Methodologies, Technologies and Applications N2 - Among other requirements, in the field of Modeling and Simulation there is a need to build and run (co-) simulation models on-demand. Setting up, orchestrating and executing simulations should be easy, while additional features such as interaction interfaces open up a variety of applications. Being able to connect external components seamlessly to a running simulation allows for elaborate experiments. This paper describes the architecture and design of a simulation platform that is a part of a broader platform enabling evaluations of future mobility scenarios. Apache’s Kafka platform for big data stream processing is used as a communication base in order to enable all these requirements, as well as for the coupling of different simulation tools forming a co-simulation. We give an overview of existing works regarding Modeling and Simulation as a Service, before explaining our own approach. Therefore, the architecture, the interfaces, and the workflow of a simulation run is described. The approach is illustrated by a case study, which is used to measure the service’s overhead. UR - https://doi.org/10.5220/0009780501710180 Y1 - 2020 UR - https://doi.org/10.5220/0009780501710180 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-67231 SN - 978-989-758-444-2 SP - 171 EP - 180 PB - SciTePress CY - Setúbal ER - TY - CHAP A1 - Gütlein, Moritz A1 - Djanatliev, Anatoli ED - Obaidat, Mohammad S. ED - Ören, Tuncer ED - De Rango, Floriano T1 - On-demand Simulation of Future Mobility Based on Apache Kafka T2 - Simulation and Modeling Methodologies, Technologies and Applications: 10th International Conference, SIMULTECH 2020, Lieusaint - Paris, France, July 8–10, 2020, Revised Selected Papers UR - https://doi.org/10.1007/978-3-030-84811-8_2 Y1 - 2021 UR - https://doi.org/10.1007/978-3-030-84811-8_2 SN - 978-3-030-84811-8 SP - 18 EP - 41 PB - Springer CY - Cham ER - TY - CHAP A1 - Montanari, Francesco A1 - German, Reinhard A1 - Djanatliev, Anatoli T1 - Pattern Recognition for Driving Scenario Detection in Real Driving Data T2 - 2020 IEEE Intelligent Vehicles Symposium (IV) UR - https://doi.org/10.1109/IV47402.2020.9304560 Y1 - 2021 UR - https://doi.org/10.1109/IV47402.2020.9304560 SN - 978-1-7281-6673-5 SP - 590 EP - 597 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Huber, Bernd A1 - Schmidl, Paul A1 - Sippl, Christoph A1 - Djanatliev, Anatoli ED - Ahram, Tareq ED - Karwowski, Waldemar ED - Vergnano, Alberto ED - Leali, Francesco ED - Taiar, Redha T1 - A Validated Failure Behavior Model for Driver Behavior Models for Generating Skid-Scenarios on Motorways T2 - Intelligent Human Systems Integration 2020: Proceedings of the 3rd International Conference on Intelligent Human Systems Integration (IHSI 2020): Integrating People and Intelligent Systems, February 19–21, 2020, Modena, Italy UR - https://doi.org/10.1007/978-3-030-39512-4_15 Y1 - 2020 UR - https://doi.org/10.1007/978-3-030-39512-4_15 SN - 978-3-030-39512-4 SP - 92 EP - 98 PB - Springer CY - Cham ER - TY - INPR A1 - Wurst, Jonas A1 - Flores Fernandez, Alberto A1 - Botsch, Michael A1 - Utschick, Wolfgang T1 - An Entropy Based Outlier Score and its Application to Novelty Detection for Road Infrastructure Images UR - https://doi.org/10.48550/arXiv.2005.13288 Y1 - 2020 UR - https://doi.org/10.48550/arXiv.2005.13288 PB - arXiv CY - Ithaca ER - TY - INPR A1 - Sánchez Morales, Eduardo A1 - Botsch, Michael A1 - Huber, Bertold A1 - García Higuera, Andrés T1 - High precision indoor positioning by means of LiDAR UR - https://doi.org/10.48550/arXiv.2005.06798 Y1 - 2020 UR - https://doi.org/10.48550/arXiv.2005.06798 PB - arXiv CY - Ithaca ER - TY - INPR A1 - Sánchez Morales, Eduardo A1 - Membarth, Richard A1 - Gaull, Andreas A1 - Slusallek, Philipp A1 - Dirndorfer, Tobias A1 - Kammenhuber, Alexander A1 - Lauer, Christoph A1 - Botsch, Michael T1 - Parallel Multi-Hypothesis Algorithm for Criticality Estimation in Traffic and Collision Avoidance UR - https://doi.org/10.48550/arXiv.2005.06773 Y1 - 2020 UR - https://doi.org/10.48550/arXiv.2005.06773 PB - arXiv CY - Ithaca ER - TY - JOUR A1 - Janssen, Christian P. A1 - Schroeter, Ronald A1 - Bidwell, Nicola J. A1 - Ji, Yong Gu A1 - Alvarez, Ignacio A1 - Bao, Shan A1 - Jeon, Myounghoon A1 - Boyle, Linda Ng A1 - Donker, Stella F. A1 - Chuang, Lewis A1 - Ju, Wendy A1 - Kun, Andrew T1 - Auto-UI: Global Perspectives JF - Interactions UR - https://doi.org/10.1145/3429265 Y1 - 2020 UR - https://doi.org/10.1145/3429265 SN - 1558-3449 VL - 27 IS - 6 SP - 7 EP - 9 PB - ACM CY - New York ER - TY - JOUR A1 - Rodrigues, Luiz Fernando Alves A1 - Monteiro, Henrique L.M. A1 - Ferreira, Danton A1 - Barbosa, Bruno H. G. A1 - Rufino Júnior, Carlos Antônio A1 - Duque, Carlos T1 - Sample-by-sample Power Quality Disturbance classification based on Sliding Window Recursive Discrete Fourier Transform JF - Electric Power Systems Research UR - https://doi.org/10.1016/j.epsr.2024.110607 Y1 - 2024 UR - https://doi.org/10.1016/j.epsr.2024.110607 SN - 1873-2046 VL - 2024 IS - 235 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Bodenschatz, Anja T1 - When own interest stands against the “greater good” – Decision randomization in ethical dilemmas of autonomous systems that involve their user’s self-interest JF - Computers in Human Behavior: Artificial Humans N2 - Autonomous systems (ASs) decide upon ethical dilemmas and their artificial intelligence as well as situational settings become more and more complex. However, to study common-sense morality concerning ASs abstracted dilemmas on autonomous vehicle (AV) accidents are a common tool. A special case of ethical dilemmas is when the AS’s users are affected. Many people want AVs to adhere to utilitarian programming (e.g., to save the larger group), or egalitarian programming (i.e., to treat every person equally). However, they want their own AV to protect them instead of the “greater good”. That people reject utilitarian programming as an AS’s user while supporting the idea from an impartial perspective has been termed the “social dilemma of AVs”. Meanwhile, preferences for another technical capability, which would implement egalitarian programming, have not been elicited for dilemmas involving self-interest: decision randomization. This paper investigates normative and descriptive preferences for a self-protective, self-sacrificial, or randomized choice by an AS in a dilemma where people are the sole passenger of an AV, and their survival stands against the survival of several others. Results suggest that randomization may mitigate the “social dilemma of AVs” by bridging between a societally accepted programming and the urge of ASs’ users for self-protection. UR - https://doi.org/10.1016/j.chbah.2024.100097 Y1 - 2024 UR - https://doi.org/10.1016/j.chbah.2024.100097 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-67088 SN - 2949-8821 VL - 2 IS - 2 PB - Elsevier CY - Amsterdam ER - TY - INPR A1 - Peintner, Jakob A1 - Manger, Carina A1 - Berger, Melanie A1 - Riener, Andreas T1 - Balancing Transparency and Control: The Impact of Ai Explanation Detail on User Perception in Automated Vehicles T2 - SSRN UR - https://dx.doi.org/10.2139/ssrn.5027721 Y1 - 2024 UR - https://dx.doi.org/10.2139/ssrn.5027721 PB - Elsevier CY - Amsterdam ER - TY - CHAP A1 - Hoppe, Holger A1 - Krause, Marcus ED - Heinrich, Peter T1 - Nachhaltigkeitskommunikation im Praxiseinblick am Beispiel der KION GROUP AG T2 - CSR und Kommunikation: Unternehmerische Verantwortung überzeugend vermitteln UR - https://doi.org/10.1007/978-3-662-69026-0_19 Y1 - 2024 UR - https://doi.org/10.1007/978-3-662-69026-0_19 SN - 978-3-662-69026-0 SP - 309 EP - 325 PB - Springer Gabler CY - Berlin ET - 3. Auflage ER - TY - CHAP A1 - Bechthold, Laura ED - Gondlach, Kai ED - Brinkmann, Birgit ED - Brinkmann, Mark ED - Plath, Julia T1 - Mein algorithmischer Kollege BT - Drei Erzählungen zu Mensch und Maschine als kollegiale Einheit in der Datenökonomie T2 - Regenerative Zukünfte und künstliche Intelligenz: Band 2: PEOPLE UR - https://doi.org/10.1007/978-3-658-44852-3_25 Y1 - 2024 UR - https://doi.org/10.1007/978-3-658-44852-3_25 SN - 978-3-658-44852-3 SP - 359 EP - 368 PB - Springer VS CY - Wiesbaden ER - TY - CHAP A1 - Loza Adaui, Cristian Rolando ED - Fröhlich, Elisabeth ED - Steinbiß, Kristina Kristina ED - Schmiedeknecht, Maud Helene ED - Loza Adaui, Cristian Rolando T1 - The Principle of Respect in Circular Economy: Recognising Worth and Boundaries T2 - Circular Economy in Sustainable Supply Chains: A Global Perspective on Challenges, Concepts and Cases UR - https://doi.org/10.1007/978-3-031-70749-0_2 Y1 - 2025 UR - https://doi.org/10.1007/978-3-031-70749-0_2 SN - 978-3-031-70749-0 SP - 21 EP - 33 PB - Springer CY - Cham ER - TY - CHAP A1 - Loza Adaui, Cristian Rolando ED - Fröhlich, Elisabeth ED - Steinbiß, Kristina ED - Schmiedeknecht, Maud Helene ED - Loza Adaui, Cristian Rolando T1 - The Principle of Responsibility in Circular Economy: Between Freedom and Duty T2 - Circular Economy in Sustainable Supply Chains: A Global Perspective on Challenges, Concepts and Cases UR - https://doi.org/10.1007/978-3-031-70749-0_3 Y1 - 2025 UR - https://doi.org/10.1007/978-3-031-70749-0_3 SN - 978-3-031-70749-0 SP - 35 EP - 47 PB - Springer CY - Cham ER - TY - CHAP A1 - Loza Adaui, Cristian Rolando ED - Fröhlich, Elisabeth ED - Steinbiß, Kristina ED - Schmiedeknecht, Maud Helene ED - Loza Adaui, Cristian Rolando T1 - The Principle of Regeneration in Circular Economy: Revitalising for Resilience T2 - Circular Economy in Sustainable Supply Chains: A Global Perspective on Challenges, Concepts and Cases UR - https://doi.org/10.1007/978-3-031-70749-0_4 Y1 - 2025 UR - https://doi.org/10.1007/978-3-031-70749-0_4 SN - 978-3-031-70749-0 SP - 49 EP - 60 PB - Springer CY - Cham ER - TY - CHAP A1 - Loza Adaui, Cristian Rolando A1 - Schmiedeknecht, Maud Helene A1 - Steinbiß, Kristina A1 - Fröhlich, Elisabeth ED - Fröhlich, Elisabeth ED - Steinbiß, Kristina ED - Schmiedeknecht, Maud Helene ED - Loza Adaui, Cristian Rolando T1 - Circular Economy in Sustainable Supply Chains: Presenting a Global Perspective on Challenges, Concepts and Cases T2 - Circular Economy in Sustainable Supply Chains: A Global Perspective on Challenges, Concepts and Cases UR - https://doi.org/10.1007/978-3-031-70749-0_1 Y1 - 2025 UR - https://doi.org/10.1007/978-3-031-70749-0_1 SN - 978-3-031-70749-0 SP - 1 EP - 18 PB - Springer CY - Cham ER - TY - BOOK ED - Fröhlich, Elisabeth ED - Steinbiß, Kristina ED - Schmiedeknecht, Maud Helene ED - Loza Adaui, Cristian Rolando T1 - Circular Economy in Sustainable Supply Chains BT - A Global Perspective on Challenges, Concepts and Cases UR - https://doi.org/10.1007/978-3-031-70749-0 Y1 - 2025 UR - https://doi.org/10.1007/978-3-031-70749-0 SN - 978-3-031-70749-0 PB - Springer CY - Cham ER - TY - INPR A1 - Nadarajan, Parthasarathy A1 - Botsch, Michael A1 - Sardina, Sebastian T1 - Machine Learning Architectures for the Estimation of Predicted Occupancy Grids in Road Traffic UR - https://doi.org/10.48550/arXiv.2512.12907 Y1 - 2018 UR - https://doi.org/10.48550/arXiv.2512.12907 PB - arXiv CY - Ithaca ER - TY - INPR A1 - Nadarajan, Parthasarathy A1 - Botsch, Michael A1 - Sardina, Sebastian T1 - Predicted-occupancy grids for vehicle safety applications based on autoencoders and the Random Forest algorithm UR - https://doi.org/10.48550/arXiv.2512.12901 Y1 - 2017 UR - https://doi.org/10.48550/arXiv.2512.12901 PB - arXiv CY - Ithaca ER - TY - INPR A1 - Rößle, Dominik A1 - Xie, Xujun A1 - Mohan, Adithya A1 - Thirugnana Sambandham, Venkatesh A1 - Cremers, Daniel A1 - Schön, Torsten T1 - DrivIng: A Large-Scale Multimodal Driving Dataset with Full Digital Twin Integration UR - https://doi.org/10.48550/arXiv.2601.15260 Y1 - 2026 UR - https://doi.org/10.48550/arXiv.2601.15260 PB - arXiv CY - Ithaca ER - TY - INPR A1 - Tolksdorf, Leon A1 - Tejada, Arturo A1 - Bauernfeind, Jonas A1 - Birkner, Christian A1 - van de Wouw, Nathan T1 - Risk Estimation for Automated Driving UR - https://doi.org/10.48550/arXiv.2601.15018 Y1 - 2026 UR - https://doi.org/10.48550/arXiv.2601.15018 PB - arXiv CY - Ithaca ER - TY - BOOK A1 - Raab-Kuchenbuch, Andrea A1 - Drissner, Alexandra T1 - Einweiserbeziehungsmanagement BT - Wie Krankenhäuser erfolgreich Win-Win-Beziehungen zu niedergelassenen Ärzten aufbauen Y1 - 2011 SN - 978-3-17-021714-0 PB - Verlag W. Kohlhammer CY - Stuttgart ER - TY - BOOK A1 - Martin, Richard A1 - Schuster, Ottilia T1 - Survivalstrategien für Beruf und Alltag BT - Überleben im Veränderungsdschungel Y1 - 2005 SN - 3-407-36028-2 PB - Beltz Verlag CY - Weinheim ER - TY - RPRT A1 - Schäfle, Claudia A1 - Dölling, Hanna T1 - Aktives Lernen in der Hochschullehre planen und fördern mit dem ICAP-Modell N2 - Aktivierende, studierendenzentrierte Lehr- und Lernmethoden können lernförderlich sein, doch ist es nicht von vornherein klar, welche Lehrmethoden sich für welches Lernziel am besten eignen und wie die Methoden zu vergleichen sind, so dass Studierende die Lernziele effektiv und effizient erreichen können. Mit dem ICAP-Modell (I interaktiv, C konstruktiv, A aktiv, P passiv) können die studentischen Lernhandlungen vier Stufen zugeordnet und eine Vorhersage über die Tiefe der zu erwartenden Lernergebnisse getroffen werden (Chi & Wylie, 2014). Lehrende bekommen mit diesem Modell ein praxistaugliches Werkzeug an die Hand, um den Einsatz von Lernaufgaben zielgerichtet zu planen. T3 - BayZiel Series - Schriftenreihe zur Hochschullehre - 1 Y1 - 2025 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-66900 SN - 3053-2531 PB - BayZiel CY - München ER - TY - JOUR A1 - Pandey, Amit A1 - Mohd, Zubair Akhtar A1 - Veettil, Nandana Kappuva A1 - Wunderle, Bernhard A1 - Elger, Gordon T1 - Quantitative Kernel estimation from traffic signs using slanted edge spatial frequency response as a sharpness metric JF - Scientific Reports N2 - Sharpness is a critical optical property of automotive cameras, measured by the spatial frequency response (SFR) within the end-of-line (EOL) test after manufacturing. This work presents a method to estimate the blurring kernel of an automotive camera, which could be the first step toward state monitoring of automotive cameras. To achieve this, Principal Component Analysis (PCA) was performed, using synthetic kernels generated by Zemax. The PCA model was built with approximately 1300 base kernels representing spatially variant point spread functions (PSFs). This model generates kernel samples during the estimation process. Synthetic images were created by convolving the synthetic kernels with reference traffic sign images and compared with real-life data captured by an automotive camera. These synthetic data were utilized for algorithm development, and later on, validation was performed on real-life data. The algorithm extracts two pixels regions of interest (ROIs) containing slanted edges from the blurred image and crops matching ROIs from a reference sharp image. Each candidate kernel was used to blur the reference ROIs, and the resulting SFR was compared with the blurred ROIs’ SFR. Differential evolution optimization minimizes the SFR difference, selecting the kernel that best matches the observed blur. The final kernel was evaluated against the true kernel for accuracy. The structural similarity index measure (SSIM) between the original and estimated blurred ROIs ranges from 0.808 to 0.945. For true vs. estimated kernels, SSIM varies from 0.92 to 0.98. Pearson correlation coefficients range from 0.84 to 0.99, Cosine similarity from 0.86 to 0.99, and mean squared error (MSE) from to . Validation on real-life camera images showed that the SSIM between the estimated and blurred ROI was >0.82, showing promising accuracy in kernel estimation, which could be used towards in-field monitoring of camera sharpness degradation. UR - https://doi.org/10.1038/s41598-026-40556-w Y1 - 2026 UR - https://doi.org/10.1038/s41598-026-40556-w UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-66915 SN - 2045-2322 VL - 16 IS - 1 PB - Springer Nature CY - London ER - TY - CHAP A1 - Müller, Simon Nikolaus A1 - Strobel, Rainer A1 - Faigl, Markus A1 - Schrag, Tobias ED - Fink, Christian ED - Brunner, Christoph T1 - Analysis of Industrial 5GDHC System in Ingolstadt BT - A Step Towards CO2-Neutral Industry T2 - International Sustainable Energy Conference - Proceedings N2 - This study comprehensively examines the technical manifestation and planning process for a shared thermal energy network at a 75-hectare industrial area in Ingolstadt. Unlike traditional systems, this (5GDHC) network showcases a smart integration of energy flows across 70 buildings with a yearly heating demand of around 17 GWh and a yearly cooling demand of around 35 GWh. The network spans over 9,100 meters of piping with diameters up to 800 mm. With thermal power from various sources including 1.8 MW waste heat from a data centre and potential for 10 MW from the Danube River, the system epitomizes a dynamic balance of heating and cooling demands. The paper itself examines the planning process of the system and encompasses topics such as defining energy requirements and load profiles, assessing potential energy sources and sinks for enhanced system efficiency, and analysing pipe and network design. Through this investigation, the study provides valuable insights towards a methodology to facilitate the successful implementation of future industrial 5GDHC systems, furthering the cause of sustainable energy. UR - https://doi.org/10.52825/isec.v1i.1152 Y1 - 2024 UR - https://doi.org/10.52825/isec.v1i.1152 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-66874 SN - 2976-2030 PB - TIB Open Publishing CY - Hannover ER - TY - CHAP A1 - Göbel, Jan-Philipp A1 - Mertens, Jan Cedric A1 - Riener, Andreas T1 - Evaluating Alcohol-Induced Impairment: A Comprehensive Study on Objective Tests and Subjective Self-Perception T2 - 2025 IEEE International Conference on Vehicular Electronics and Safety (ICVES) UR - https://doi.org/10.1109/ICVES65691.2025.11376306 Y1 - 2026 UR - https://doi.org/10.1109/ICVES65691.2025.11376306 SN - 978-1-6654-7778-9 SP - 73 EP - 80 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Dönmez, Ömer A1 - Tejero de la Piedra, Ricardo A1 - Klose, Simona A1 - Riolet, Matthieu A1 - Rozek, Lukas A1 - Vaculin, Ondrej A1 - Hach, Christian T1 - Approach for Passive Safety Assessment of Rearward-Sitting Occupants T2 - 2025 IEEE International Conference on Vehicular Electronics and Safety (ICVES) UR - https://doi.org/10.1109/ICVES65691.2025.11376179 Y1 - 2026 UR - https://doi.org/10.1109/ICVES65691.2025.11376179 SN - 978-1-6654-7778-9 SP - 445 EP - 452 PB - IEEE CY - Piscataway ER - TY - JOUR A1 - Mayr, Thomas A1 - Knollmeyer, Simon A1 - Jeknic, Isidora A1 - Fink, Leon A1 - Hensel, Ralph A1 - Huber, Marco F. A1 - Großmann, Daniel T1 - Enhancing Process Planning in the Automotive Industry: Extracting Procedural Knowledge from Assembly Operation Descriptions using Large Language Models JF - Procedia CIRP N2 - The non-standardized, human-written assembly descriptions have been a long-standing obstacle in the automotive assembly industry, making it difficult to use these data in the planning stage. The paper presents a standardization method based on Large Language Models (LLMs), focusing on consistency and clarity. This approach does not only streamline the planning processes but also facilitates the benchmarking of productivity and process quality across different individual parts and assembly lines, thus enabling comprehensive efficiency analysis and ultimately leading to more informed decision-making. Our method was evaluated at a German OEM in the automotive sector, demonstrating its practical applicability and effectiveness. UR - https://doi.org/10.1016/j.procir.2026.01.137 Y1 - 2026 UR - https://doi.org/10.1016/j.procir.2026.01.137 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-66843 SN - 2212-8271 VL - 2026 IS - 138 SP - 797 EP - 802 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Gloor, Jamie L. A1 - Braun, Susanne A1 - Hoobler, Jenny M. A1 - Pham, Huong A1 - Peus, Claudia T1 - More Motivated to Help Male Leaders? Explaining Fatherhood Bonuses via Follower Helping JF - Journal of Business Ethics UR - https://doi.org/10.1007/s10551-026-06248-1 Y1 - 2026 UR - https://doi.org/10.1007/s10551-026-06248-1 SN - 1573-0697 PB - Springer CY - Dordrecht ER - TY - CHAP A1 - Funk Drechsler, Maikol A1 - Sell, Christoph Dominic A1 - Poledna, Yuri A1 - Huber, Werner T1 - Accelerating the Approval of Automated Driving Vehicles through standardized XiL test environments T2 - 2025 IEEE International Conference on Vehicular Electronics and Safety (ICVES) UR - https://doi.org/10.1109/ICVES65691.2025.11376566 Y1 - 2026 UR - https://doi.org/10.1109/ICVES65691.2025.11376566 SN - 978-1-6654-7778-9 SP - 183 EP - 188 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Ulreich, Fabian A1 - Funk Drechsler, Maikol A1 - Poledna, Yuri A1 - Chan, Pak Hung A1 - Herraren, Tuomas A1 - Ebert, Martin A1 - Kaup, André A1 - Huber, Werner T1 - Validating Camera Sensor Models for Virtual Testing of Vision Systems in Automated Driving T2 - 2025 IEEE International Conference on Vehicular Electronics and Safety (ICVES) UR - https://doi.org/10.1109/ICVES65691.2025.11376043 Y1 - 2026 UR - https://doi.org/10.1109/ICVES65691.2025.11376043 SN - 978-1-6654-7778-9 SP - 57 EP - 64 PB - IEEE CY - Piscataway ER - TY - JOUR A1 - Da Silva Junior, Amauri A1 - Müller, Steffen A1 - Birkner, Christian A1 - Jazar, Reza A1 - Marzbani, Hormoz T1 - Fault Tolerant Control With Reinforcement Learning for Evasive Maneuvers Using a Scaled Vehicle JF - IEEE Access N2 - Autonomous vehicle controllers are responsible for handling the vehicle at all times in any situation, including emergency conditions. An emergency might arise from, e.g., adverse weather conditions, short-time detection, and system faults. In this paper, we develop a fault-tolerant controller to handle actuator faults for an over-actuated autonomous vehicle based on reinforcement learning. A worst-case scenario is selected for the controller development, involving short-time detection of the preceding objects, high velocity, and dry to wet road conditions. The design of the vehicle controller is performed in three steps. First, a robust controller based on sliding mode control with lateral and longitudinal coupled strategy was built to ensure stability in emergency scenarios. Secondly, a strategy was proposed to identify the most critical vehicle faults that might lead to a crash. Building on these foundations, this study extends the vehicle controller to handle vehicle faults with a reinforcement learning strategy, enabling adaptive and robust fault handling in complex fault scenarios. The vehicle controller is designed and optimized in IPG-Carmaker®, and proof of concept is carried out in a scaled 1:3.33 test vehicle. The results demonstrate the robustness of the proposed controller in an emergency single-lane change with a velocity of up to 130 km/h. Tests in the scaled vehicle demonstrate the vehicle controller’s accuracy against simulation, with the application of reinforcement learning strategy in real-case scenarios. UR - https://doi.org/10.1109/ACCESS.2026.3661179 Y1 - 2026 UR - https://doi.org/10.1109/ACCESS.2026.3661179 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-66839 SN - 2169-3536 VL - 14 SP - 21353 EP - 21383 PB - IEEE CY - New York ER - TY - JOUR A1 - Salamat, Babak A1 - Mattern, Dominik A1 - Olzem, Sebastian-Sven A1 - Elsbacher, Gerhard A1 - Seidel, Christian A1 - Tonello, Andrea M. T1 - GMP3: Learning-Driven, Bellman-Guided Trajectory Planning for AAVs in Real-Time on SE(3) JF - IEEE Access N2 - We propose GMP3, a multiphase global path planning framework that generates dynamically feasible three-dimensional trajectories for unmanned aerial vehicles (UAVs) operating in cluttered environments. The framework extends traditional path planning from Euclidean position spaces to the Lie group SE(3), allowing joint learning of translational motion and rotational dynamics. A modified Bellman-based operator is introduced to support reinforcement learning (RL) policy updates while leveraging prior trajectory information for improved convergence. GMP3 is designed as a distributed framework in which agents influence each other and share policy information along the trajectory: each agent refines its assigned segment and shares with its neighbors via a consensus-based scheme, enabling cooperative policy updates and convergence toward a path shaped globally even under kinematic constraints.We also propose DroneManager, a modular ground control software that interfaces the planner with real UAVs platforms via the Micro Air Vehicle Link (MAVLink) protocol, supporting real-time deployment and feedback. Simulation studies and indoor flight experiments validate the effectiveness of the proposed method in constrained 3D environments, demonstrating reliable obstacle avoidance and smooth, feasible trajectories across both position and orientation. UR - https://doi.org/10.1109/ACCESS.2026.3661193 Y1 - 2026 UR - https://doi.org/10.1109/ACCESS.2026.3661193 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-66826 SN - 2169-3536 VL - 14 SP - 22720 EP - 22733 PB - IEEE CY - New York ER - TY - CHAP A1 - Jimenez, Victor A1 - Reyes de los Mozos, Mario A1 - Perea Paños, Pau A1 - Fritzsche, Paula Cecilia A1 - Mayer, Kevin A1 - Volkersdorfer, Tina A1 - Hof, Hans-Joachim A1 - Couturier, Christophe A1 - Ernst, Thierry A1 - Zhang, Miao A1 - Saied Mohamed, Mohamed A1 - Rodríguez-Arozamena, Mario A1 - Aranguren-Mendieta, Iñigo A1 - Pérez, Joshué A1 - Jousse, Adrien A1 - Murguia, Carlos A1 - van de Wouw, Nathan A1 - Bellessort, Romain A1 - Salami, Behzad A1 - Jevtić, Aleksandar A1 - Bannour, Boutheina A1 - Rodríguez Recasens, Manel A1 - Ropero, Isaac A1 - Ozbay, Burcu A1 - Eren, Ali A1 - Bektas, Mustafa A1 - Tezcan, Deryanur A1 - Pilz, Christoph A1 - Haas, Sarah A1 - Lenz, Gernot ED - McNally, Ciaran ED - Carroll, Páraic ED - Martinez-Pastor, Beatriz ED - Ghosh, Bidisha ED - Efthymiou, Marina ED - Valantasis-Kanellos, Nikolaos T1 - SELFY - Self Assessment, Protection and Healing Tools for a Trustworthy and Resilient CCAM T2 - Transport Transitions: Advancing Sustainable and Inclusive Mobility, Proceedings of the 10th TRA Conference, 2024 Dublin, Ireland - Volume 6: Connected Mobility Ecosy N2 - SELFY envisions an agnostic toolbox for the self-management of security and resilience of the CCAM (Connected, Cooperative and Automated Mobility) ecosystem, which can be easily deployed to extend the current Operational Design Domain (ODD), providing self-awareness, self-resilience and self-healing mechanisms and enhancing trust between stakeholders. SELFY is based on four pillars: Situational awareness, Resilience, Secure Data Sharing and Trust and provides three groups of tools. SACP (Situational Awareness and Collaborative Perception) tools aim at providing all CCAM actors with a comprehensive understanding of their environment, i.e., the perception of objects, such as other traffic participants and stationary objects. CRHS (Cooperative Resilience and Healing System) tools enable self-protection actions whenever a compromising situation is detected in relation to assets, vehicles, operations, or the system itself. TDMS (Trust and Data Management System) tools establish a secure and trusted environment for data in a collaborative and cooperative context, both for infrastructure and assets, as well as for citizen’s data, such as drivers or pedestrians with special attention to privacy considerations. By defining a collaborative environment between the different tools to respond to new threats, risks and attacks SELFY facilitates the comprehension of new challenges in the cybersecurity aspect of CCAMs. UR - https://doi.org/10.1007/978-3-032-06763-0_106 Y1 - 2025 UR - https://doi.org/10.1007/978-3-032-06763-0_106 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-66819 SN - 978-3-032-06763-0 SP - 745 EP - 751 PB - Springer CY - Cham ER - TY - JOUR A1 - Kreilinger, Laurens A1 - Zott, Stefan A1 - Hemmert, Werner A1 - Karg, Sonja T1 - Dry electrode impedance: a new approach towards improved characterization JF - Biomedical Physics & Engineering Express N2 - Electrode-skin impedance plays a crucial role in electrophysiological signal acquisition, influencing signal quality and measurement reliability. We designed a reproducibility measurement setup, using a membrane with a saline solution and a three-electrode Electrochemical Impedance Spectroscopy measurement setup (range 1 Hz–20 kHz), to mimic the electrode-skin impedance. The system allowed controlled application of pressure to the working electrode (WE) and measurement of all setup parameters. With this setup, reproducible results were achieved, with a standard deviation of 5.5% of the mean impedance across three builds. Potentiostatic and impedance analyzer measurements with six types of dry electrodes produced comparable results, with an average error of 10%. The six dry electrode types exhibited impedance variations of up to a factor of 10,000 at low frequencies, depending on material and geometry. Ag/AgCl-coated electrodes exhibited an impedance reduction by a factor of 100 at 1 Hz compared to their uncoated counterparts. The proposed setup provides a standardized and reproducible approach for characterizing electrode impedance across different materials, coatings, and geometries. UR - https://doi.org/10.1088/2057-1976/ae3e9c Y1 - 2026 UR - https://doi.org/10.1088/2057-1976/ae3e9c UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-66800 SN - 2057-1976 VL - 12 IS - 2 PB - IOP Publishing CY - Bristol ER - TY - JOUR A1 - Bechthold, Laura A1 - Rosendahl Huber, Laura A1 - Eddleston, Kimberly A. T1 - Debiasing entrepreneurial careers: A field experiment on female role model effects on entrepreneurial self-efficacy and early-stage career choices JF - Journal of Business Venturing N2 - Women remain underrepresented not only as founders but also as employees – or “joiners” – in young and small firms, limiting their exposure to entrepreneurial environments that often serve as critical pathways to venture creation. To address this gap, we investigate whether introducing female entrepreneur role models in educational settings can shape young women's entrepreneurial self-efficacy and early career choices. Drawing on role congruity theory and social cognitive career theory (SCCT), we conducted a field experiment involving over 430 university students and 98 early-stage entrepreneurs. Using a pre-test/post-test design and longitudinal tracking of early career choices, we explore the causal effects of exogenously assigned female role models on students' decisions to join a young or small firm. We find that exposure to social interactions with female entrepreneurs significantly boosts female students' entrepreneurial self-efficacy. More importantly, women who were paired with a female entrepreneur were over 10% more likely to join a young firm after graduation compared to those assigned to a male entrepreneur. Mediation analysis confirms that entrepreneurial self-efficacy is a key mechanism linking exposure to same-sex role models with women's decision to join a young firm. These findings highlight the potential of targeted role model interventions to reduce gender disparities in entrepreneurial entry pathways and expand the diversity of entrepreneurial ecosystems. UR - https://doi.org/10.1016/j.jbusvent.2026.106582 Y1 - 2026 UR - https://doi.org/10.1016/j.jbusvent.2026.106582 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-66745 SN - 1873-2003 SN - 0883-9026 VL - 41 IS - 3 PB - Elsevier CY - New York ER - TY - THES A1 - Tolksdorf, Leon T1 - Risk-Based Motion Planning in Automated Vehicles N2 - It is anticipated that there will be a long period where automated vehicles (AVs) and human road users share the same road network, with limited communication between them. As a result, AVs often operate with uncertain knowledge of their surroundings due to limitations in both sensing and estimation of the traffic scenario's current and future states. These limitations can be caused by factors such as noisy sensor data or lack of information about the intentions of other road users. Accounting for this uncertainty while designing motion planning and control algorithms for AVs is critical, as an AV may display hazardous behavior if it is overly confident in falsely estimated environment states or, contrarily, may act too cautiously when considering unnecessarily large safety margins in estimated states. Although safety regulations call for taking uncertainty into account, the right means to integrate uncertainty in motion planning has yet to be agreed upon. A promising way to account for uncertainty is through the concept of risk. Risk accounts for uncertainty in assessing safety by considering both the likelihood and severity of unsafe events, such as collisions. Research has shown that human drivers navigate traffic by trading off subjectively perceived risk against the potential rewards of reaching their destinations. Additionally, studies indicate that subjective risk tends to correlate with objective risk measures, while ethicists argue that risk can be used as a means to facilitate ethicality in road traffic by distributing risk fairly among road users. These relationships highlight the benefits of incorporating risk as a proxy for generating AV behavior in motion planning algorithms, by accounting for uncertainty in unsafe events. Incorporating risk in AV motion planning presents two main challenges. The first challenge is to develop a notion of risk that correctly incorporates an AV's uncertainty about the future motion of other road users, and that can be computed fast (and precisely) enough to be used in online (i.e., real-time) motion-planning algorithms. The second challenge is to develop an appropriate AV motion planning algorithm that incorporates risk and generates the desired AV behavior, facilitating ethicality. This dissertation addresses both challenges by making six main contributions. First, we introduce a suitable risk metric: the expected severity of a collision event. This metric, thus, is constituted of two terms, one accounting for the likelihood of a collision and another term considering the severity of a collision. Second, we investigate the AV behavior given different optimization-based motion planning strategies that accommodate our risk metric. We find that a stochastic model predictive control (SMPC)-based motion planner adequately balances risk with travel efficiency in the presence of varying uncertainty. \\Third, to compute risk, we provide an computationally efficient (i.e., real-time computable) algorithm to estimate risk. Here, the focus lies on estimating the probability of collision (POC), as our risk metric reduces to a POC metric when the severity term is considered constant. Based on multi-circular shape approximations of the geometries of the AV and other road users, we present an algorithm that estimates the POC with good precision, and that is guaranteed not to under-approximate it. The algorithm is shown to execute significantly faster than standard Monte Carlo sampling, while being tailored for optimization-based motion planning strategies. In our SMPC-based motion planning strategy, it is shown to generate smooth, reproducible trajectories under varying levels of uncertainty. Fourth, we extend our POC algorithm to risk estimation. Here, we propose a severity estimation method that allows us to consider different collision constellations, as literature shows that those are associated with different levels of harm to the passengers of vehicles. The resulting risk estimation algorithm leverages the advantages of the POC estimation algorithm, i.e., its particular suitability for optimization-based motion planning strategies, while allowing for the flexible integration of severity functions to represent different collision types. Furthermore, we provide an extension of our risk metric to estimate the risk from the perspective of each road user in the driving scene, as we argue that risk is asymmetric between pairs of road users, i.e., dependent on the perspective. Fifth, given our proposed SMPC-based motion planning strategy, the AVs behavior can be tuned such that it minimizes its own risk (egoistic perspective), the risk other road users face (altruistic perspective), and a balance of both (collective perspective). To evaluate safety and driving behavior for each of these risk metrics, we performed simulations on a database containing a wide variety of real-world and artificial traffic scenarios. The results show that a collective perspective balances the overall risk of all road users with the AV's driving behavior in a favorable manner, and constitutes a suitable approach to facilitate ethicality in road traffic. Lastly, we use our proposed risk metric as part of the decision-making process on emergency maneuvers, i.e., emergency steering and emergency braking, for an AV designed to evade collisions with late-detected pedestrians. In simulations, we show that this metric outperforms deterministic risk estimation by choosing the appropriate evasive maneuver more frequently. In experimental testing, we verified the real-world applicability of this metric in an AV testbed designed for collision avoidance by having a pedestrian dummy walk out from a sight obstruction when the AV approaches. We find that risk is beneficial in deciding on accident avoidance maneuvers. The contributions introduced in this thesis show that risk, and thus uncertainty, can be systematically incorporated in AV algorithms for motion planning and decision-making. We demonstrate that our risk metric is beneficial to the avoidance capabilities of low-automation safety systems. Furthermore, the proposed algorithms are computationally efficient, allowing for real-time optimization-based motion planning, which allows highly automated vehicles to navigate smoothly through road traffic. We show that risk-based AV behavior generation enables balancing the AV's interests in safety and travel efficiency for all road users, and thus, facilitates ethicality. Y1 - 2026 UR - https://research.tue.nl/en/publications/risk-based-motion-planning-in-automated-vehicles/ UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-65845 SN - 978-90-386-6610-5 PB - Eindhoven University of Technology CY - Eindhoven ER - TY - JOUR A1 - Amâncio de Moraes, André A1 - Cristófoli Duarte Silva, Letícia A1 - Tancredi, Thiago Pontin A1 - Vasconcellos Ferreira, Cristiano T1 - Support methodology to the informational and conceptual design of small recreational powerboats JF - Human Factors in Design N2 - This article proposes a methodology for the design of motor recreational boats which are a crucial part of the Brazilian nautical industry. Despite the high demand for these boats, design methodologies for small leisure vessels are not well explored in the literature, leading to not mapped aspects as design information treatment, requirements engineering, and trade-off conflicts. The proposed methodology aims to systematize the obtaining of design specifications, generation and evaluation of solution concepts, employing de- sign support tools. The methodology was evaluated by applying it on a small recreational motorboat, and the results were positively evaluated by nautical industry and academic specialists, leading to acceptation of the methodology and some suggestions for improvement. N2 - Este artigo propõe uma metodologia para o projeto de embarcações de recreio a motor, que são uma parte crucial da indústria náutica brasileira. Apesar da grande demanda por essas embarcações, metodologias de projeto para pequenas embarcações de lazer não são bem exploradas na literatura, levando a aspectos não mapeados como tratamento de informações de projeto, engenharia de requisitos e conflitos de trade-off. A metodologia proposta visa sistematizar a obtenção de especificações de projeto, geração e avaliação de conceitos de soluções, empregando ferramentas de apoio ao projeto. A metodologia foi avaliada aplicando-a em uma pequena lancha de recreio, e os resultados foram avaliados positivamente pela indústria náutica e por especialistas acadêmicos, levando à aceitação da metodologia e a algumas sugestões de melhoria. T2 - Metodologia de suporte ao projeto informativo e conceitual de pequenas lanchas recreativas UR - https://doi.org/10.5965/2316796313252024165 Y1 - 2024 UR - https://doi.org/10.5965/2316796313252024165 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-66739 SN - 2316-7963 VL - 13 IS - 25 SP - 165 EP - 186 PB - Universidade do Estado de Santa Catarina CY - Florianópolis ER - TY - INPR A1 - Nadarajan, Parthasarathy A1 - Botsch, Michael T1 - Probability Estimation for Predicted-Occupancy Grids in Vehicle Safety Applications Based on Machine Learning UR - https://doi.org/10.48550/arXiv.2512.12896 Y1 - 2016 UR - https://doi.org/10.48550/arXiv.2512.12896 PB - arXiv CY - Ithaca ER - TY - CHAP A1 - Agrawal, Atharva Mangeshkumar A1 - Chaudhary, Arvind Kumar A1 - Gandamalla, Viswa A1 - Sheru, Aravind Reddy A1 - Chakraborty, Ashmita A1 - Dhirwani, Bhavesh Arjan A1 - Agarwal, Priyank T1 - Author-Oriented Semantic Plagiarism Detection Using Transformer Architectures T2 - 2025 IEEE International Conference on Advanced Computing Technologies (ICACT) UR - https://doi.org/10.1109/ICACT67549.2025.11351398 Y1 - 2026 UR - https://doi.org/10.1109/ICACT67549.2025.11351398 SN - 979-8-3315-9002-4 SP - 401 EP - 406 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Kurada, Sai Bhuvana A1 - Agrawal, Atharva Mangeshkumar A1 - Gandamalla, Viswa A1 - Goel, Krishna A1 - Dhirwani, Bhavesh Arjan A1 - Bansal, Prakhyati A1 - Injarapu, Gopi Chandu T1 - Sarcasm-Aware Neural Translation for Informal Social Media Texts in Low-Resource Languages T2 - 2025 IEEE International Conference on Advanced Computing Technologies (ICACT) UR - https://doi.org/10.1109/ICACT67549.2025.11351510 Y1 - 2026 UR - https://doi.org/10.1109/ICACT67549.2025.11351510 SN - 979-8-3315-9002-4 SP - 407 EP - 411 PB - IEEE CY - Piscataway ER -