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 - 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 - JOUR A1 - Sirodom, Kulpatra A1 - Loza Adaui, Cristian Rolando A1 - Habisch, André A1 - Malloch, Theodore A1 - Lenssen, Gilbert T1 - Practical wisdom for management from the Buddhist and Indian traditions JF - Journal of Management Development UR - https://doi.org/10.1108/JMD-09-2014-0104 Y1 - 2014 UR - https://doi.org/10.1108/JMD-09-2014-0104 SN - 1758-7492 VL - 33 IS - 8-9 SP - 729 EP - 737 PB - Emerald CY - Bradford ER - TY - JOUR A1 - El Garah, Wafa A1 - Beekun, Rafik I. A1 - Habisch, André A1 - Lenssen, Gilbert A1 - Loza Adaui, Cristian Rolando T1 - Practical wisdom for management from the Islamic tradition JF - Journal of Management Development UR - https://doi.org/10.1108/02621711211281906 Y1 - 2012 UR - https://doi.org/10.1108/02621711211281906 SN - 1758-7492 VL - 31 IS - 10 SP - 991 EP - 1000 PB - Emerald CY - Bradford ER - TY - JOUR A1 - Kletz, Pierre A1 - Almog‐Bareket, Granit A1 - Habisch, André A1 - Lenssen, Gilbert A1 - Loza Adaui, Cristian Rolando T1 - Practical wisdom for management from the Jewish tradition JF - Journal of Management Development UR - https://doi.org/10.1108/02621711211259929 Y1 - 2012 UR - https://doi.org/10.1108/02621711211259929 SN - 1758-7492 VL - 31 IS - 9 SP - 879 EP - 885 PB - Emerald CY - Bradford 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 - 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 - 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 - 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 - INPR A1 - James, Stuart Daniel A1 - Killinger, Markus A1 - Mutanga, Chiedza Ngonidzashe A1 - Pirard, Romain A1 - Einax, Mario A1 - Huber, Matthias A1 - Bader, Tobias T1 - The Hybrid Renewable Energy Community Approach (HyRECA): Synergising energy access, economic development, and ecosystem restoration in rural Southern Africa T2 - SSRN UR - https://dx.doi.org/10.2139/ssrn.5294413 Y1 - 2025 UR - https://dx.doi.org/10.2139/ssrn.5294413 PB - Elsevier CY - Amsterdam ER - TY - INPR A1 - Nikoloski, Marjan A1 - Botzen, Wouter A1 - Banerjee, Sanchayan A1 - Blasch, Julia A1 - Talevi, Marta T1 - Behavioural and Economic Drivers of Household Preferences for Energy Retrofit Programmes: Evidence from a Discrete Choice Experiment in the Netherlands T2 - SSRN UR - https://dx.doi.org/10.2139/ssrn.6174508 Y1 - 2026 UR - https://dx.doi.org/10.2139/ssrn.6174508 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Gregor, Markus T1 - Neuer Standard für den SoH JF - Auto Service Praxis KW - State of Health KW - SoH KW - Standard KW - Gesundheitszustand KW - Traktionsbatterie Y1 - 2026 UR - https://www.autoservicepraxis.de/nachrichten/kfz-werkstatt/neuer-standard-fuer-den-soh-3756740 SN - 1437-1162 VL - 2026 IS - 1-2 SP - 38 EP - 39 PB - TECVIA Media CY - München ER - TY - INPR A1 - Kruber, Friedrich A1 - Sánchez Morales, Eduardo A1 - Chakraborty, Samarjit A1 - Botsch, Michael T1 - Vehicle Position Estimation with Aerial Imagery from Unmanned Aerial Vehicles UR - https://doi.org/10.48550/arXiv.2004.08206 Y1 - 2020 UR - https://doi.org/10.48550/arXiv.2004.08206 PB - arXiv CY - Ithaca ER - TY - INPR A1 - Aksoy, Eren Erdal A1 - Raisuddin, Abu Mohammed A1 - Holmblad, Jesper A1 - Haghighi, Hamed A1 - Poledna, Yuri A1 - Funk Drechsler, Maikol A1 - Donzella, Valentina T1 - Rehearse-3d: A Multi-Modal Emulated Rain Dataset for 3d Point Cloud De-Raining T2 - SSRN UR - https://dx.doi.org/10.2139/ssrn.5360105 Y1 - 2025 UR - https://dx.doi.org/10.2139/ssrn.5360105 PB - Elsevier CY - Amsterdam ER - TY - INPR A1 - Löw, Jakob A1 - Vasu Ashoka, Vishwa Vimukthi A1 - Hutzelmann, Thomas A1 - Hof, Hans-Joachim T1 - Security Aspects of ISO 15118 Plug and Charge Payment UR - https://doi.org/10.48550/arXiv.2512.15966 Y1 - 2025 UR - https://doi.org/10.48550/arXiv.2512.15966 PB - arXiv CY - Ithaca ER - TY - INPR A1 - Boemelburg, Raphael A1 - Schuhmacher, Alexander A1 - Gassmann, Oliver T1 - Open Innovation Strategies and Product Performance in Pharma R&D: Insights into Exploration and Exploitation T2 - SSRN UR - https://dx.doi.org/10.2139/ssrn.5562088 Y1 - 2025 UR - https://dx.doi.org/10.2139/ssrn.5562088 PB - Elsevier CY - Amsterdam ER - TY - INPR 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 N2 - The introduction of highly automated vehicles (HAVs) will allow vehicle occupants to take advantage of new seating configurations, such as sitting rearward in the first row. One critical aspect of assessing occupant safety during high-speed impacts is the lack of a dedicated safety framework for rearward-facing passengers in the first row. This paper introduces a method to develop new assessment criteria for these novel seat configurations. Thus, this research presents some preliminary results of rearward-facing occupant injury biomechanics analyses carried out employing a variety of anthropomorphic test devices (ATDs) and the VIVA+ 50M human body model (HBM), restrained with different belt configurations and considering different seat typologies. It reviews the suitability of 50th percentile male ATDs to capture a biofidelic engagement with the seat structure and belt system and evaluates the reaction loads on the occupant, along with the energy management resulting from seat back rotational stiffness and energy-absorbing foams layered behind the seat cushion. Based on the results, the THOR-AV-50M is a suitable candidate for further biofidelity analysis. Torso occupant loads can be effectively reduced utilizing seat back rotation but pelvis load management requires further studies. UR - https://doi.org/10.5281/zenodo.18338626 Y1 - 2026 UR - https://doi.org/10.5281/zenodo.18338626 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-66254 PB - Zenodo CY - Genf ER - TY - INPR A1 - Thépaut, Louison A1 - Blasch, Julia A1 - Khadjavi, Menusch A1 - Spadaro, Giuliana T1 - Energy Transition at Home: Nudging the Uptake of Energy Audits by Dutch Homeowners T2 - SSRN UR - https://dx.doi.org/10.2139/ssrn.5387432 Y1 - 2025 UR - https://dx.doi.org/10.2139/ssrn.5387432 PB - Elsevier CY - Amsterdam ER - TY - INPR A1 - Mosaferchi, Saeedeh A1 - Riener, Andreas A1 - Mortezapoursoufiani, Alireza A1 - Naddeo, Alessandro T1 - Enhancing UX in Automated Vehicles through Biophilic Interfaces: Insights from Prospective End Users T2 - SSRN UR - https://dx.doi.org/10.2139/ssrn.5359199 Y1 - 2025 UR - https://dx.doi.org/10.2139/ssrn.5359199 PB - Elsevier CY - Amsterdam ER - TY - INPR A1 - Müller, Simon Nikolaus A1 - Schmitt, David A1 - Bott, Christoph A1 - Akbar, Shariq A1 - Bayer, Peter A1 - Schrag, Tobias T1 - Operating thermal source networks – How supply temperature and ground exchange shape performance T2 - SSRN UR - http://dx.doi.org/10.2139/ssrn.6034530 Y1 - 2026 UR - http://dx.doi.org/10.2139/ssrn.6034530 PB - Elsevier CY - Amsterdam ER - TY - CHAP A1 - Nadri, Chihab A1 - Li, Jingyi A1 - Bosch, Esther A1 - Oehl, Michael A1 - Alvarez, Ignacio A1 - Braun, Michael A1 - Jeon, Myounghoon T1 - Emotion GaRage Vol. II BT - A Workshop on Affective In-Vehicle Display Design T2 - Adjunct Proceedings: 12th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications UR - https://doi.org/10.1145/3409251.3411736 Y1 - 2020 UR - https://doi.org/10.1145/3409251.3411736 SN - 978-1-4503-8066-9 SP - 106 EP - 108 PB - ACM CY - New York ER - TY - INPR A1 - Chandra Sekaran, Karthikeyan A1 - Geisler, Markus A1 - Rößle, Dominik A1 - Mohan, Adithya A1 - Cremers, Daniel A1 - Utschick, Wolfgang A1 - Botsch, Michael A1 - Huber, Werner A1 - Schön, Torsten T1 - UrbanIng-V2X: A Large-Scale Multi-Vehicle, Multi-Infrastructure Dataset Across Multiple Intersections for Cooperative Perception UR - https://doi.org/10.48550/arXiv.2510.23478 Y1 - 2025 UR - https://doi.org/10.48550/arXiv.2510.23478 PB - arXiv CY - Ithaca ER - TY - CHAP A1 - Hof, Hans-Joachim A1 - Fritz, Mario A1 - Krauß, Christoph T1 - CSCS '25 - Cyber Security in CarS Workshop T2 - CCS ’25: Proceedings of the 2025 ACM SIGSAC Conference on Computer and Communications Security UR - https://doi.org/10.1145/3719027.3769666 Y1 - 2025 UR - https://doi.org/10.1145/3719027.3769666 SN - 979-8-4007-1525-9 SP - 4930 EP - 4931 PB - ACM CY - New York ER - TY - INPR 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 UAVs in Real-Time on SE(3) 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 UAV platforms via the 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. The open-source implementation is available at https://github.com/Domattee/DroneManager. UR - https://doi.org/10.48550/arXiv.2509.21264 Y1 - 2025 UR - https://doi.org/10.48550/arXiv.2509.21264 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-64770 PB - arXiv CY - Ithaca ER - TY - JOUR A1 - Agostinelli, Simone A1 - Asatiani, Aleksandre A1 - Axmann, Bernhard A1 - Hannibal, Glenda A1 - Modlinski, Artur ED - del-Río-Ortega, Adela ED - Marrella, Andrea ED - Reijers, Hajo A. ED - Wilde, Adriana T1 - Trust Calibration for RPA JF - Dagstuhl Reports N2 - This working group focused on foundational issues of trust in RPA: How we can conceptualize trust between users and software robots and specify it in a way that, eventually, we can measure that trust empirically. UR - https://doi.org/10.4230/DagRep.14.7.52 Y1 - 2025 UR - https://doi.org/10.4230/DagRep.14.7.52 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-64681 SN - 2192-5283 VL - 14 IS - 7 SP - 61 EP - 64 PB - Schloss Dagstuhl CY - Dagstuhl ER - TY - INPR A1 - Ivan, Zsanett Zsofia A1 - Hirling, Dominik A1 - Grexa, Istvan A1 - Ammeling, Jonas A1 - Micsik, Tamas A1 - Dobra, Katalin A1 - Kuthi, Levente A1 - Sukosd, Farkas A1 - Aubreville, Marc A1 - Miczan, Vivien A1 - Horvath, Peter T1 - Subphase-Labeled Mitotic Dataset for AI-powered Cell Division Analysis N2 - Mitosis detection represents a critical task in the field of digital pathology, as determination of the mitotic index (MI) plays an important role in the tumor grading and prognostic assessment of patients. Manual determination of MI is a labor-intensive and time-consuming task for practitioners with rather high interobserver variability, thus, automation has become a priority. There has been substantial progress towards creating robust mitosis detection algorithms in recent years, primarily driven by the Mitosis Domain Generalization (MIDOG) challenges. In parallel, there has been growing interest in the molecular characterization of mitosis with the goal of achieving a more comprehensive understanding of its underlying mechanisms in a subphase-specific manner. Here, 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 of the dataset. We envision a new perspective for domain generalization by improving the performance of models with subtyping mitotic cells into the 5 main stages of normal mitosis, complemented with an atypical mitotic class. We believe that our work broadens the horizon in digital pathology: subtyping information could provide useful help for mitosis detection, while also providing promising new directions in answering biological questions, such as molecular analysis of the subphases on a single cell level. UR - https://doi.org/10.1101/2025.07.17.665280 Y1 - 2025 UR - https://doi.org/10.1101/2025.07.17.665280 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-64587 PB - bioRxiv CY - Cold Spring Harbor ER - TY - INPR A1 - Suciu, Tobias A1 - Bock, Jürgen T1 - A Practical Approach to Multivariate Time Series Anomaly Detection in Automotive Bus Systems Testing T2 - Research Square N2 - The increasing complexity of modern vehicles and their testing procedures generates vast amounts of multivariate time series data, making manual anomaly detection during automotive testing increasingly challenging. This article investigates the application of deep learning algorithms for automated anomaly detection in automotive bus data collected during dynamic driving scenarios. Three distinct architectures are implemented and compared: a CNN-based forecasting approach (DeepAnT), an LSTM-based model (LSTM-AD), and a Convolutional Autoencoder (CAE). Real-world driving data collected across various scenarios, ranging from normal operation to extreme maneuvers, is employed. Through evaluation across seven distinct test scenarios, findings reveal that while each architecture demonstrates specific strengths, their effectiveness varies significantly based on anomaly type and driving context. DeepAnT shows the most consistent performance across different scenarios, while LSTM-AD achieves superior detection capability for complex temporal patterns, particularly in scenarios involving coordinated changes across multiple features. The CAE excels at identifying pronounced deviations but shows limitations in detecting subtle anomalies. This study demonstrates that while deep learning models effectively detect anomalies in automotive time series data, their practical implementation requires careful consideration of specific use cases, emphasizing the critical role of data preprocessing and threshold calculation in ensuring reliable anomaly detection. UR - https://doi.org/10.21203/rs.3.rs-7778102/v1 Y1 - 2025 UR - https://doi.org/10.21203/rs.3.rs-7778102/v1 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-64551 SN - 2693-5015 PB - Research Square CY - Durham ER - TY - CHAP A1 - Önbaş, Tuğcan A1 - Gerber, Michael A. A1 - Riener, Andreas T1 - Context-Aware Take-Over Requests for Promoting Emergency Corridor Formation in Level 3 Automated Vehicles T2 - Adjunct Conference Proceedings: 17th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, September 22-25, 2025, Brisbane, Australia UR - https://doi.org/10.1145/3744335.3756855 Y1 - 2025 UR - https://doi.org/10.1145/3744335.3756855 SN - 979-8-4007-2014-7 SP - 342 EP - 344 PB - ACM CY - New York ER - TY - CHAP A1 - Solombrino, Laetitia Pina-Lydia A1 - Gerber, Michael A. A1 - Riener, Andreas T1 - Dynamic Head-Up Display Design: Cognitive Load as a Parametric Driver T2 - Adjunct Conference Proceedings: 17th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, September 22-25, 2025, Brisbane, Australia UR - https://doi.org/10.1145/3744335.3756861 Y1 - 2025 UR - https://doi.org/10.1145/3744335.3756861 SN - 979-8-4007-2014-7 SP - 362 EP - 364 PB - ACM CY - New York ER - TY - CHAP A1 - Berger, Melanie A1 - Ebel, Patrick A1 - Riener, Andreas A1 - Alvarez, Ignacio A1 - Wintersberger, Philipp A1 - Sadeghian, Shadan T1 - Sustainable by Design: A Workshop on Life-Cycle-Aware Future Mobility T2 - Adjunct Conference Proceedings: 17th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, September 22-25, 2025, Brisbane, Australia UR - https://doi.org/10.1145/3744335.3749137 Y1 - 2025 UR - https://doi.org/10.1145/3744335.3749137 SN - 979-8-4007-2014-7 SP - 306 EP - 309 PB - ACM CY - New York ER - TY - CHAP A1 - Karur, Krishna Sahithi A1 - Riener, Andreas A1 - Alvarez, Ignacio A1 - Wintersberger, Philipp A1 - Park, Jeongeun A1 - Lee, Seulchan T1 - 1st Workshop on Exploring the Potential of XAI and HMI to Alleviate Ethical, Legal, and Social Conflicts in Automated Vehicles T2 - Adjunct Conference Proceedings: 17th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, September 22-25, 2025, Brisbane, Australia UR - https://doi.org/10.1145/3744335.3749143 Y1 - 2025 UR - https://doi.org/10.1145/3744335.3749143 SN - 979-8-4007-2014-7 SP - 295 EP - 297 PB - ACM CY - New York ER - TY - CHAP A1 - Raghvani, Vidhi A1 - Gerber, Michael A. A1 - Riener, Andreas T1 - Inclusive Vehicle Dashboard Design: Supporting Neuro diverse ADHD Drivers Through Visual Simplicity T2 - Adjunct Conference Proceedings: 17th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, September 22-25, 2025, Brisbane, Australia UR - https://doi.org/10.1145/3744335.3756860 Y1 - 2025 UR - https://doi.org/10.1145/3744335.3756860 SN - 979-8-4007-2014-7 SP - 359 EP - 361 PB - ACM CY - New York ER - TY - INPR A1 - Ammeling, Jonas A1 - Ganz, Jonathan A1 - Rosbach, Emely A1 - Lausser, Ludwig A1 - Bertram, Christof A1 - Breininger, Katharina A1 - Aubreville, Marc T1 - Benchmarking Foundation Models for Mitotic Figure Classification UR - https://doi.org/10.48550/arXiv.2508.04441 Y1 - 2025 UR - https://doi.org/10.48550/arXiv.2508.04441 PB - arXiv CY - Ithaca ER - TY - CHAP A1 - Müller, Hannah Maria A1 - Valsangkar, Natalie Sachin A1 - Rashid, Warda A1 - Bhanderi, Smit A1 - Berghegger, Lukas Peter A1 - Kolhe, Ritvik Rajiv A1 - Malik, Maham A1 - Sukani, Meetkumar A1 - Volkan, Berde A1 - Riener, Andreas T1 - Ride Recall: An Aftermarket Item-Reminder System for Shared & Rented Cars T2 - Adjunct Conference Proceedings: 17th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, September 22-25, 2025, Brisbane, Australia UR - https://doi.org/10.1145/3744335.3756858 Y1 - 2025 UR - https://doi.org/10.1145/3744335.3756858 SN - 979-8-4007-2014-7 SP - 352 EP - 355 PB - ACM CY - New York ER - TY - JOUR A1 - Hinder, Markus A1 - Madesh, Nandhini A1 - Hartl, Dominik A1 - Schuhmacher, Alexander T1 - The Role of Data Monitoring Committees in drug research JF - Drug Discovery Today UR - https://doi.org/10.1016/j.drudis.2025.104474 Y1 - 2025 UR - https://doi.org/10.1016/j.drudis.2025.104474 SN - 1878-5832 VL - 30 IS - 10 PB - Elsevier CY - Amsterdam ER - TY - CHAP A1 - Yu, Hang A1 - Shedge, Krishnakant A1 - Mohamed, Nourhan A1 - Samak, Nada A1 - Binsad, Waleed A1 - Bhosale, Simantini A1 - Kim, Eunji A1 - Kondvilkar, Shreya A1 - Riener, Andreas T1 - AwareDoor: Enhancing Vehicle-Exit Safety via Multimodal Risk Communication T2 - Adjunct Conference Proceedings: 17th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, September 22-25, 2025, Brisbane, Australia UR - https://doi.org/10.1145/3744335.3756856 Y1 - 2025 UR - https://doi.org/10.1145/3744335.3756856 SN - 979-8-4007-2014-7 SP - 345 EP - 348 PB - ACM CY - New York ER - TY - INPR A1 - Kettelgerdes, Marcel A1 - Hillmann, Tjorven A1 - Hirmer, Thomas A1 - Erdogan, Hüseyin A1 - Wunderle, Bernhard A1 - Elger, Gordon T1 - Accelerated Real-Life (ARL) Testing and Characterization of Automotive LiDAR Sensors to facilitate the Development and Validation of Enhanced Sensor Models N2 - In the realm of automated driving simulation and sensor modeling, the need for highly accurate sensor models is paramount for ensuring the reliability and safety of advanced driving assistance systems (ADAS). Hence, numerous works focus on the development of high-fidelity models of ADAS sensors, such as camera, Radar as well as modern LiDAR systems to simulate the sensor behavior in different driving scenarios, even under varying environmental conditions, considering for example adverse weather effects. However, aging effects of sensors, leading to suboptimal system performance, are mostly overlooked by current simulation techniques. This paper introduces a cutting-edge Hardware-in-the-Loop (HiL) test bench designed for the automated, accelerated aging and characterization of Automotive LiDAR sensors. The primary objective of this research is to address the aging effects of LiDAR sensors over the product life cycle, specifically focusing on aspects such as laser beam profile deterioration, output power reduction and intrinsic parameter drift, which are mostly neglected in current sensor models. By that, this proceeding research is intended to path the way, not only towards identifying and modeling respective degradation effects, but also to suggest quantitative model validation metrics. 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