Items where Subject is "Institute of Systems Engineering for Future Mobility > Systems Theory and Design"

Institutes and Facilities (127875)
- Institute of Systems Engineering for Future Mobility (102)
  - Systems Theory and Design (38)

Jump to: B | D | E | F | G | J | K | N | P | S | T | U | W

Number of items at this level: 38.

B

Babisch, Stefan and Neurohr, Christian and Westhofen, Lukas and Schoenawa, Stefan and Liers, Henrik (2023) Leveraging the GIDAS Database for the Criticality Analysis of Automated Driving Systems. Journal of Advanced Transportation. Hindawi-Wiley. doi: 10.1155/2023/1349269. ISSN 0197-6729.

Becker, Jan Steffen and Koopmann, Tjark and Neurohr, Birte and Neurohr, Christian and Westhofen, Lukas and Wirtz, Boris and Böde, Eckard and Damm, Werner (2022) Simulation of Abstract Scenarios: Towards Automated Tooling in Criticality Analysis. In: Autonomes Fahren. Ein Treiber zukünftiger Mobilität Zenodo. pp. 42-51. doi: 10.5281/zenodo.5907154.

Behrendt, Marcus and Johannmeyer, Daniela and Wortelen, Bertram and Saager, Marcel and Klimmek, Jacqueline and Steinmetz, Alexander (2022) An Integrated Approach for More Efficiency in Maritime Investigations. Conference: 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022), 24. Juli 2022 – 28. Juli 2022, New York, USA. doi: 10.54941/ahfe1002508. Volltext nicht online.

Bhatt, Mehul and Suchan, Jakob (2023) Artificial Visual Intelligence: Perceptual Commonsense for Human-Centred Cognitive Technologies. In: Human-Centered Artificial Intelligence - Advanced Lectures Lecture Notes in Computer Science. Springer Cham. doi: 10.1007/978-3-031-24349-3_12. ISBN 978-3-031-24348-6. ISSN 0302-9743. (In Press) Volltext nicht online.

Bhatt, Mehul and Suchan, Jakob and Kondyli, Vasiliki and Nair, Vipul (2022) Spatial Cognition and Artificial Intelligence: Methods for In-The-Wild Behavioural Research in Visual Perception. ACM Symposium of Eye Tracking Research & Applications (ETRA), 08. - 11. June 2022, Seattle, WA, USA and virtual. Volltext nicht online.

D

de Graaff, Thies and Ribeiro de Menezes, Arthur (2022) Capsule Networks for Hierarchical Novelty Detection in Object Classification. In: 2022 IEEE Intelligent Vehicles Symposium, IV 2022, pp. 1795-1800. Institute of Electrical and Electronics Engineers. 2022 IEEE Intelligent Vehicles Symposium (IV), 04.-09. Juni 2022, Aachen, Deutschland. doi: 10.1109/IV51971.2022.9827249. ISBN 978-166548821-1. Volltext nicht frei.

E

Eschemann, Patrick and Borchers, Philipp and Lisiecki, Dennis and Krauskopf, Jan Elmar (2022) Metric Based Dynamic Control Charts for Edge Anomaly Detection in Factory Logistics. In: Journal of Physics: Conference Series. IOP Publishing Ltd. 2022 International Conference on Control Theory and Applications, 14.10.2022 - 17.10.2022, Chengdu, China. doi: 10.1088/1742-6596/2352/1/012010. ISSN 1742-6588.

F

Feeken, Linda and Glawe, Matthias (2022) Developing and Using a Digital Twin of a Decentralized Robot Fleet. Talk at the Finnish Industrial Internet Forum. [Other] Volltext nicht online.

Feeken, Linda and Kern, Esther and Szanto, Alexander and Winnicki, Alexander and Kao, Ching-Yu and Wudka, Björn and Glawe, Matthias and Mirzaei, Elham and Borchers, Philipp and Burghardt, Christian (2022) Detecting and Processing Anomalies in a Factory of the Future. Applied Sciences, pp. 1-24. Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/app12168181. ISSN 2076-3417.

Fehnker, Anselm (2022) Application of Evolutionary Algorithms to Analyze Criticality in Urban Traffic Scenarios. Master's, Carl von Ossietzky Universität Oldenburg. doi: 10.13140/RG.2.2.11335.78242.

G

Galbas, Roland and Neurohr, Christian and Rosenberger, Philipp and Schunk, Gerhard (2022) Application of SET Level results in the VVMethods Project. SET Level. [Other]

Grundt, Dominik and Jurj, Sorin Liviu and Hagemann, Willem and Kröger, Paul and Fränzle, Martin (2022) Verification of Sigmoidal Artificial Neural Networks using iSAT. In: Proceedings The tth International Workshop on Symbolic-Numeric Methods for Reasoning about CPS and IoT, 361, pp. 45-60. Electronic Proceedings in Theoretical Computer Science. 7th International Workshop on Symbolic-Numeric Methods for Reasoning about CPS and IoT, 23. Aug. 2021, Online. doi: 10.4204/EPTCS.361.6.

J

Jurj, Sorin Liviu and Werner, Tino and Grundt, Dominik and Hagemann, Willem and Möhlmann, Eike (2022) Towards Safe and Sustainable Autonomous Vehicles Using Environmentally-Friendly Criticality Metrics. Sustainability, 14 (12). Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/su14126988. ISSN 2071-1050.

K

Kalwa, Vincent (2021) TSC2OpenX - Realisierung einer Werkzeugkette zur Simulation abstrakter Verkehrsszenarien. Bachelor's, Carl von Ossietzky Universität Oldenburg. doi: 10.13140/RG.2.2.11502.33605.

Kondyli, Vasiliki and Suchan, Jakob and Bhatt, Mehul (2022) Grounding Embodied Multimodal Interaction : Towards Behaviourally Established Semantic Foundations for Human-Centered AI. In: Proceedings of the 1st International Workshop on Knowledge Representation for Hybrid Intelligence (KR4HI 2022). The 1st International Workshop on Knowledge Representation for Hybrid Intelligence (KR4HI 2022) :, 13. - 17. June 2022, Amsterdam, The Netherlands.

Koopmann, Tjark and Neurohr, Christian (2023) Grasping Causality for the Explanation of Criticality for Automated Driving. [Other] Volltext nicht frei.

Krefting, Ina (2022) Schnittstellengestaltung für autonome Fahrzeuge auf Basis von verschiedenen Individualisierungsmöglichkeiten unter Berücksichtigung des Ecological interface designs und des Konect Values. Master's, Carl-von-Ossietzky Universität Oldenburg. Volltext nicht online.

N

Neurohr, Christian (2022) Criticality Analysis for the Verification & Validation of Automated Driving Systems. VVMethoden. [Other]

Neurohr, Christian (2021) Herausforderungen für das szenariobasierte Testen von automatisierten Fahrzeugen. [Other]

Nitsche, Gregor and Uven, Patrick and Stierand, Ingo and Grüttner, Kim (2022) Safe Modular Online Updates and Upgrades for Mixed-Criticality Systems. 31. SafeTRANS Industrial Day, 28. Nov. 2022, Berlin, Deutschland.

P

Putze, Lina and Böde, Eckard (2022) Systematic Identification and Analysis of Hazards for Automated Systems. Insight / INCOSE, International Council on Systems Engineering, 25 (4), pp. 100-104. Wiley. doi: 10.1002/inst.12421. ISSN 2156-485X.

Putze, Lina and Koopmann, Tjark and Neurohr, Christian (2023) Grasping Causality for the Explanation of Criticality for Automated Driving. [Other] Volltext nicht frei.

S

Saager, Marcel (2022) Cooperation in Highly Automated/Autonomous Transport Systems. In: ECCE '22: Proceedings of the 33rd European Conference on Cognitive Ergonomics. ECCE - 33rd European Conference on Cognitive Ergonomics, October 4 - 7, 2022, Kaiserslautern. doi: 10.1145/3552327.3552352. Volltext nicht online.

Schoenawa, Stefan and Neurohr, Christian (2022) Identification and Analysis of Criticality Phenomena within the GIDAS database. VVMethoden. [Other]

Suchan, Jakob (2022) Cognitive Vision - Deep Semantics for (Neurosymbolic) Multimodal Learning. Institute on Multimodality - Minds. Media. Technology., Bielefeld, Deutschland. Volltext nicht online.

Suchan, Jakob (2022) Neurosymbolic Learning: On Generalising Relational Visuospatial and Temporal Structure. Training School: Representation Mediated Multimodality, 26. - 30. September 2022, Langwedel, Deutschland. Volltext nicht online.

Suchan, Jakob (2022) Declarative Reasoning about Space and Motion in Visual Imagery - Theoretical Foundations and Applications. Dissertation, Universität Bremen. doi: 10.26092/elib/1652. Volltext nicht frei.

Suchan, Jakob and Bhatt, Mehul (2022) Neurosymbolic Learning : On Generalising Relational Visuospatial and Temporal Structure. In: Proceedings of the First International Conference on Foundations, Applications, and Theory of Inductive Logic (FATIL2022), pp. 84-86. FernUniversität in Hagen. First International Conference on Foundations, Applications, and Theory of Inductive Logic (FATIL2022), 12. - 14. Oct. 2022, Munich, Germany. doi: 10.18445/20220817-161753-0. Volltext nicht online.

T

Trende, Alexander and Krefting, Ina and Unni, Anirudh and Rieger, Jochem W. and Fränzle, Martin (2022) A Case-Study for a Human-Centered Approach to Traffic Management Systems. In: HCI International 2022 Posters: 24th International Conference on Human-Computer Interaction, HCII 2022, 1583, pp. 259-266. HCII'22, Virtuell. doi: 10.1007/978-3-031-06394-7_34. ISBN 978-303106393-0. ISSN 1865-0929. Volltext nicht frei.

Trende, Alexander and Unni, Anirudh and Jablonski, Mischa and Biebl, Bianca and Lüdtke, Andreas and Fränzle, Martin and Rieger, Jochem W. (2022) Driver's turning intent recognition model based on brain activation and contextual information. Frontiers in Neuroergonomics, 3. Frontiers Media S.A.. doi: 10.3389/fnrgo.2022.956863. ISSN 2673-6195.

U

Unni, Anirudh and Trende, Alexander and Pauley, Claire and Weber, Lars and Biebl, Bianca and Kacianka, Severin and Lüdtke, Andreas and Bengler, Klaus and Pretschner, Alexander and Fränzle, Martin and Rieger, Jochem W. (2022) Investigating Differences in Behavior and Brain in Human-Human and Human-Autonomous Vehicle Interactions in Time-Critical Situations. Frontiers in Neuroergonomics, 3. Frontiers Media S.A.. doi: 10.3389/fnrgo.2022.836518. ISSN 2673-6195.

W

Wellßow, Arlena (2022) Entwurf eines Prozesses zur Formalisierung sicherheitsrelevanter Phänomene für das automatisierte Fahren. Master's, Carl von Ossietzky Universität Oldenburg.

Westhofen, Lukas (2022) Ontologies for the Formalization, Recognition, and Analysis of Criticality. VVM Project Mid-Term Event, 15.-16. Mär. 2022, Munich, Germany.

Westhofen, Lukas and Neurohr, Christian (2022) Functional Use Cases - Characteristic Scenarios for the Evaluation of Urban Driving Automation. VVMethoden. [Other]

Westhofen, Lukas and Neurohr, Christian and Butz, Martin and Scholtes, Maike and Schuldes, Michael (2022) Using Ontologies for the Formalization and Recognition of Criticality for Automated Driving. IEEE Open Journal of Intelligent Transportation Systems, 3, pp. 509-538. IEEE - Institute of Electrical and Electronics Engineers. doi: 10.1109/OJITS.2022.3187247. ISSN 2687-7813.

Westhofen, Lukas and Neurohr, Christian and Koopmann, Tjark and Butz, Martin and Schütt, Barbara and Utesch, Fabian and Neurohr, Birte and Gutenkunst, Christian and Böde, Eckard (2022) Criticality Metrics for Automated Driving: A Review and Suitability Analysis of the State of the Art. Archives of Computational Methods in Engineering, pp. 1886-1784. Springer Nature. doi: 10.1007/s11831-022-09788-7. ISSN 1134-3060.

Westhofen, Lukas and Stierand, Ingo and Becker, Jan Steffen and Möhlmann, Eike and Hagemann, Willem (2022) Towards a Congruent Interpretation of Traffic Rules for Automated Driving - Experiences and Challenges. In: Proceedings of the International Workshop on Methodologies for Translating Legal Norms into Formal Representations (LN2FR 2022) in association with the 35th International Conference on Legal Knowledge and Information Systems (JURIX 2022), pp. 8-21. International Workshop on Methodologies for Translating Legal Norms into Formal Representations (LN2FR), 14.12.2022, Saarbrücken, Germany.

Wörmann, Julian and Bogdoll, Daniel and Srinivas, Gurucharan and Kelsch, Johann and Bührle, Etienne and Chen, Han and Fuh Chuo, Evaristus and Cvejoski, Kostadin and Gleißner, Tobias and van Elst, Ludger and Gottschall, Philip and Griesche, Stefan and Hellert, Christian and Hesels, Christian and Houben, Sebastian and Joseph, Tim and Keil, Niklas and Königshof, Hendrik and Kraft, Erwin and Kreuser, Leonie and Krone, Kevin and Latka, Tobias and Mattern, Denny and Matthes, Stefan and Munir, Mohsin and Nekolla, Moritz and Paschke, Adrian and Alexander Pintz, Maximilian and Qiu, Tianming and Qureishi, Faraz and Tahseen Raza Rizvi, Syed and Reichardt, Jörg and von Rueden, Laura and Rudolph, Stefan and Sagel, Alexander and Schunk, Gerhard and Shen, Hao and Stapelbroek, Hendrik and Stehr, Vera and Tuan Tran, Anh and Vivekanandan, Abhishek and Wang, Ya and Wasserrab, Florian and Werner, Tino and Wirth, Christian and Zwicklbauer, Stefan (2022) Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey. [Other]

This list was generated on Fri Jun 2 20:53:51 2023 CEST.