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Alexander Trende
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2020 – today
- 2024
- [j1]Werner Damm, Martin Fränzle, Alyssa J. Kerscher, Forrest Laine, Klaus Bengler, Bianca Biebl, Willem Hagemann, Moritz Held, David Hess, Klas Ihme, Severin Kacianka, Sebastian Lehnhoff, Andreas Lüdtke, Alexander Pretschner, Astrid Rakow, Jochem W. Rieger, Daniel Sonntag, Janos Sztipanovits, Maike Schwammberger, Mark Schweda, Alexander Trende, Anirudh Unni, Eric M. S. P. Veith:
A Reference Architecture of Human Cyber-Physical Systems - Part III: Semantic Foundations. ACM Trans. Cyber Phys. Syst. 8(1): 4:1-4:23 (2024) - 2022
- [c13]Alexander Trende, Ina Krefting, Anirudh Unni, Jochem W. Rieger, Martin Fränzle:
A Case-Study for a Human-Centered Approach to Traffic Management Systems. HCI (40) 2022: 259-266 - [c12]Björn Koopmann, Alexander Trende, Karina Rothemann, Linda Feeken, Jakob Suchan, Daniela Johannmeyer, Yvonne Brück:
Challenges in Achieving Explainability for Cooperative Transportation Systems. RE Workshops 2022: 114-119 - 2021
- [c11]Ina Krefting, Alexander Trende, Anirudh Unni, Jochem W. Rieger, Andreas Lüdtke, Martin Fränzle:
Evaluation of graphical human-machine interfaces for turning manoeuvres in automated vehicles. AutomotiveUI (adjunct) 2021: 77-80 - [c10]Bianca Biebl, Severin Kacianka, Anirudh Unni, Alexander Trende, Jochem W. Rieger, Andreas Lüdtke, Alexander Pretschner, Klaus Bengler:
A Causal Model of Intersection-Related Collisions for Drivers With and Without Visual Field Loss. HCI (43) 2021: 219-234 - [c9]Alexander Trende, Anirudh Unni, Jochem W. Rieger, Martin Fränzle:
Modelling Turning Intention in Unsignalized Intersections with Bayesian Networks. HCI (39) 2021: 289-296 - 2020
- [c8]Uwe Drewitz, Klas Ihme, Carsten Bahnmüller, Tobias Fleischer, HuuChuong La, Anna-Antonia Pape, Daniela Gräfing, Dario Niermann, Alexander Trende:
Towards User-Focused Vehicle Automation: The Architectural Approach of the AutoAkzept Project. HCI (32) 2020: 15-30 - [c7]Dario Niermann, Alexander Trende, Andreas Lüdtke:
Tracking and Evaluation of Human State Detections in Adaptive Autonomous Vehicles. HCI (38) 2020: 378-384 - [c6]Alexander Trende, Franziska Hartwich, Cornelia Schmidt, Martin Fränzle:
Improving the Detection of User Uncertainty in Automated Overtaking Maneuvers by Combining Contextual, Physiological and Individualized User Data. HCI (40) 2020: 390-397
2010 – 2019
- 2019
- [c5]Alexander Trende, Daniela Gräfing, Lars Weber:
Personalized user profiles for autonomous vehicles. AutomotiveUI (adjunct) 2019: 287-291 - [c4]Werner Damm, Martin Fränzle, Andreas Lüdtke, Jochem W. Rieger, Alexander Trende, Anirudh Unni:
Integrating Neurophysiological Sensors and Driver Models for Safe and Performant Automated Vehicle Control in Mixed Traffic. IV 2019: 82-89 - [c3]Alexander Trende, Anirudh Unni, Lars Weber, Jochem W. Rieger, Andreas Lüdtke:
An investigation into human-autonomous vs. human-human vehicle interaction in time-critical situations. PETRA 2019: 303-304 - [c2]Sulayman K. Sowe, Martin Fränzle, Jan-Patrick Osterloh, Alexander Trende, Lars Weber, Andreas Lüdtke:
Challenges for Integrating Humans into Vehicular Cyber-Physical Systems. SEFM Workshops 2019: 20-26 - [c1]Severin Kacianka, Amjad Ibrahim, Alexander Pretschner, Alexander Trende, Andreas Lüdtke:
Extending Causal Models from Machines into Humans. CREST@ETAPS 2019: 17-31 - [i1]Werner Damm, Martin Fränzle, Andreas Lüdtke, Jochem W. Rieger, Alexander Trende, Anirudh Unni:
Integrating Neurophysiological Sensors and Driver Models for Safe and Performant Automated Vehicle Control in Mixed Traffic. CoRR abs/1902.04929 (2019)
Coauthor Index
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