Nachstehend sind wissenschaftliche Beiträge und Veröffentlichungen aus dem Projekt VVM aufgeführt:

•  Lukas  Westhofen, Christian Neurohr: Answering Temporal Conjunctive Queries over Description Logic Ontologies for Situation Recognition in Complex Operational Domains. : In TACAS '24, Luxembourg, Luxembourg, 04.2024

• Christian Neurohr, Lukas Westhofen, Tuan Duong Quang, Tjark Koopmann, Roman Gansch, Stefan Schnoenawa: Requirements on Simulation Systems and Models Posed by a Criticality Analysis for Automated Driving Systems. : In

• Christian Neurohr, Lukas Westhofen, Martin Butz, Martin Bollmann, Lina Putze, Tjark Koopmann, Roman Gansch, Michael Knoop, Armin Rasch, Bogdan Cojocaru, Johannes Daube: Advances on the Criticality Analysis for Automated Driving Systems. : In

• Nayel Fabian Salem Christian Lalitsch-Schneider Marcus Nolte Jan Reich Dr. Tino Brade Marco Fistler: Transition from a Top-Level to a Low-Level Argumentation. : In

• Max Nestoriuc, Himanshu Walia : Criticality driven data acquisition in autonomous driving. : In ELIV Europe 21st International Congress and Exhibition, Bonn, 18-19.10.2023

• Lukas Westhofen: Answering Temporal Conjunctive Queries. In Vancouver, Canada, 02.2024

• Bangarevva Patil, Thomas Corell, Rudra Narayan Hota: In-Service Monitoring and Assessment of AD vehicles with AI based Algorithms. In: Valencia, Spain, 13-17.11.2023

• Helen Gremmelmaier, Lukas Hierzegger, Mohammed Sohail M, und J. Marius Zöllner: Cyclist’s behavior: a survey on characteristics and trajectory modeling. In: ITSC 2023 Bilbao, Bizkaia, Spain, 24-28.09.2023

• Barbara Schütt Meng Zhang, Christian Steinhauser Eric Sax: Evolutionary Behavior Tree Generation for Dynamic Scenario Creation in Testing of Automated Driving Systems. In: The 7th International Conference on System Reliability and Safety Bologna, Italy, 22.-244.11.2023

• Thomas Kirschbaum: Risk Management Core. In: TRB: Automated Road Transportation Symposium, San Francisco (US), 11.07.2023

• Henning Mosebach, Roland Galbas, Jan Reich: The VV Methods safety assurance framework – Final event announcement. In: San Francisco, 12.07.2023

• Himanshu Walia, Max Nestoriuc: VVM Introduction & Criticality based data capturing. In: Innovation Park Allgaeu Airport, Germany, 22.06.2023

• Max Zipfl, Sven Spickermann, J. Marius Zöllner: Utilizing Hybrid Trajectory Prediction Models to Recognize Highly Interactive Traffic Scenarios. In: ITSC 2023 Bilbao, Bizkaia, Spain, 24.-28.09.2023

• Marc René Zofka, Tobias Fleck, Philip Schörner, Marc Heinrich, J. Marius Zöllner: Paving the Ways for Vehicles-in-the-loop: Wireless Integration of Autonomous Vehicles into Mixed Reality Proving Grounds and Test Areas. In: ITSC 2023 Bilbao, Bizkaia, Spain, 24.-28.09.2023

• Patrick Schulz, Alexander Viehl, Oliver Bringmann: Towards Fast Environment Generation Methods for Virtual Testing. In: ITSC 2023 Bilbao, Bizkaia, Spain, 24.-28.09.2023

• Christoph Glasmacher, Lutz Eckstein: Acquire Driving Scenarios Efficiently: A Framework for Prospective Assessment of Cost-Optiaml Scenario Acquisition. In: ITSC 2023 Bilbao, Bizkaia, Spain, 24.-28.09.2023

• Kai Storms, Ken Mori, Steven Peters: Defining and Validating Urban Object Relevance for Collision Safety. In: 15. Uni-DAS e.V. Workshop Fahrerassistenz und automatisiertes Fahren, Berkheim, 24.10.2023

• Max Zipfl, Moritz Jarosch, J. Marius Zöllner: Traffic Scene Similarity: a Graph-based Contrastive Learning Approach. In: ITSC 2023 Bilbao, Bizkaia, Spain, 24.-28.09.2023

• Nayel Fabian Salem, Veronica Haber, Matthias Rauschenbach, Marcus Nolte, Robert Graubohm, Jan Reich, Torben Stolte, Markus Maurer: Semantische Normverhaltensanalyse zur durchgängigen, formalen Verhaltensspezifikation automatisierter Straßenfahrzeuge. In: 15. Uni-DAS e.V. Workshop Fahrerassistenz und automatisiertes Fahren, Berkheim, 24.10.2023

• Barbara Schütt ,Stefan Otten , Eric Sax: Exploring the Range of Possible Outcomes by means of Logical Scenario Analysis and Reduction for Testing Automated Driving Systems. In: ITSC 2023 Bilbao, Bizkaia, Spain, 24.-28.09.2023

• Martin Bollmann, Armin Rasch: Diskussion von Kritikalitätsphänomenen. In: WOST Conference, Ettersburg Castle, Weimar, 22.06.2023

• Lukas Elster, Philipp Rosenberger, Martin Holder, Ken Mori, Jan Staab, Steven Peters: Introducing the Double Validation Metric for Radar Sensor Models. In: AAET Journal

• Roland Galbas: Result from German project “VV-Methods” – VVM building blocks for safety assurance. In: ITS Lisbon, 24.05.2023

• Ferdinand Mütsch, Helen Gremmelmaier , Nicolas Becker, Daniel Bogdoll, Marc René Zofka, J. Marius Zöllner: From Model-Based to Data-Driven Simulation: Challenges and Trends in Autonomous Driving. In: CVPR, Vancouver, CA, 18.-22.06.2023

• Thomas Kirschbaum Dr. Tino Brade Nayel Fabian Salem Marcus Nolte Christian Lalitsch-Schneider Jan Reich: Erfüllung gesellschaftlicher Sicherheitserwartungen. Explizite Risikobetrachtung und Sicherheitsargumentation für hochautomatisierte Fahrzeuge. In: safe.tech 2023, München, 23.5.2023

• Thomas Kirschbaum, Nayel Fabian Salem, Marcus Nolte, Christian Lalitsch-Schneider Robert Graubohm, Roland Galbas: The “Risk Management Core”. TRB: Automated Road Transportation Symposium, San Francisco, USA, 12.07.23

• Nayel Fabian Salem Thomas Kirschbaum Marcus Nolte Christian Lalitsch-Schneider, Robert Graubohm, Markus Maurer: Risk Management Core – Towards an Explicit Representation of Risk in Automated Driving. In: Safety Week Autonomobil, Würzburg, 23.05.23

• Hendrik Weber, Christoph Glasmacher, Michael Schuldes, Nicoals Wagener, Lutz Eckstein: Holistic Driving Scenario Concept for Urban Traffic. In: IEEE IV 2023, Anchorage, Alaska, USA, 04.06.23

• Nayel Fabian Salem, Thomas Kirschbaum, Marcus Nolte, Christian Lalitsch-Schneider, Robert Graubohm, Jan Reich, Markus Maurer: Risk Management Core – Towards an Explicit Representation of Risk in Automated Driving. In: IEEE Access, 2023

• Barbara Schütt, Maximilian Zipfl,  J. Marius Zöllner, Eric Sax: Inverse Universal Traffic Quality - a Criticality Metric for Crowded Urban Traffic Scenes. In: IEEE IV 2023, Anchorage, Alaska, USA, 04.06.23

• Max Zipfl, Nina Koch, and J. Marius Zöllner: A Comprehensive Review on Ontologies for Scenario-based Testing in the Context of Autonomous Driving. In: IEEE IV 2023, Anchorage, Alaska, USA, 04.06.23

• Barbara Schütt, Joshua Ransiek, Thilo Braun, Eric Sax: 1001 Ways of Scenario Generation for Testing of Self-driving Cars: A Survey. In: IEEE IV 2023, Anchorage, Alaska, USA, 04.06.23

• Lina Putze, Lukas Westhofen, Tjark Koopmann, Eckard Böde, Christian Neurohr: On Quantification for SOTIF Validation of Automated Driving Systems. In: IEEE IV 2023, Anchorage, Alaska, USA, 04.06.23

• Julian Fuchs, Thilo Braun, Lennart Ries, Eric Sax: Similarity analysis of concrete scenarios in the context of virtual scenario-based validation of vehicles. In: IEEE Intelligent vehicles symposium, Alaska, 04.06.23

• Kai Storms, Ken Mori, Steven Peters: Conservative Estimation of Perception Relevance of Dynamic Objects for Safe Trajectories in Automotive Scenarios. In: IEEE International Conference on Mobility, Detroit, Michigan, USA, 17.05.2023

• Christoph Glasmacher, Hendrik Webe, Michael Schuldes, Nicolas Wagener, Lutz Eckstein: Generation of Concrete Parameters from Logical Urban Driving Scenarios based on Hybrid Graphs. In: VEHITS, Prag, 26.04.2023

• Nayel Fabian Salem, Thomas Kirschbaum, Marcus Nolte, Christian Lalitsch-Schneider, Robert Graubohm, Jan Reich, Markus Maurer: Risk Management Core. In: ReConf, Munich, 24.04.2023

• Henning Mosebach, Marcus Nolte, Jan Reich, Roland Galbas: From safety argumentation to an assurance framework - The PEGASUS projects SET Level and VV Methods. In: SIP-adus Workshop 2022, Kyoto, Japan, 12.10.2022

• Jan Reich: The safety assurance architecture of VV Methods. In: SIP-adus Workshop 2022, Kyoto, Japan, 13.10.2022

• Katrin Lotto, Thomas Nagler, Mladjan Radic: Modeling Stochastic Data Using Copulas For Application in Validation of Autonomous Driving. In: Electronics - MDPI, 13.12.2022

• Roland Galbas, Christian Neurohr, Philipp Rosenberger, Gerhard Schunk: Application of SET Level results in the VVMethods Project. In: SetLevel Abschlussveranstaltung, 11./12.10.2022 

• Tjark Koopmann, Christian Neurohr, Lina Putze, Lukas Westhofen, Roman Gansch, Ahmad Adee: Grasping Causality for the Explanation of Criticality for Automated Driving. In: ACM Transactions on Intelligent Systems and Technology (TIST), 27.10.2022

• Tobias Merk, Dr. Andreas Linnemann, Martin Herbert Bollmann, Dr. Mladjan Radic: MerLin potential based ciriticality measure. In: In: Organisation durch Cornell University, 17.08.2022.

• Nayel Fabian Salem, Veronica Haber, Matthias Rauschenbach, Marcus Nolte, Jan Reich, Robert Graubohm, Torben Stolte, Markus Maurer: Ein Beitrag zur durchgängigen, formalen Verhaltensspezifikation automatisierter Straßenfahrzeuge. 15.09.2022

• Clemens Linnhoff, Kristof Hofrichter, Lukas Elster, Philipp Rosenberger, Hermann Winner: Measuring the Influence of Environmental Conditions on Automotive Lidar Sensors. In: MDPI Sensors, 07/2022.

• Lukas Westhofen, Christian Neurohr, Tjark Koopmann, Martin Butz, Fabian Utesch, Christian Gutenkunst, Eckard Böde: Criticality Metrics for Automated Driving: A Review and Suitability Analysis of the State of the Art.  In:Archives of Computational Methods in Engineering. 

• Lukas Westhofen, Christian Neurohr, Martin Butz, Maike Scholtes, Michael Schuldes: Using Ontologies for the Formalization and Recognition of Criticality for Automated Driving. In: IEEE Open Journal of Intelligent Transportation Systems. 

• Nayel Fabian Salem, Veronica Haber, Hans Nikolaus Beck, Matthias Rauschenbach, Marcus Nolte, Jan Reich, Torben Stolte, Markus Maurer: Semantische Normverhaltensanalyse – ein Beitrag zur durchgängigen Formalisierung von Verhaltensnormen für das automatisierte Fahren. In: Workshop Fahrerassistenzsysteme und automatisiertes Fahren, Kloster Bonladen, Berkheim, 23.03.2022.

• Clemens Linnhoff, Philipp Rosenberger, Hermann Winner: Refining Object-Based Lidar Sensor Modeling — Challenging Ray Tracing as the Magic Bullet. In: IEEE Sensors Journal, 01.11.2021.

• Cheng Wang, Kai Storms, Hermann Winner: Online Safety Assessment of Automated Vehicles Using Silent Testing. In: IEEE Transaction on Intelligent Transportation Systems, doi: 10.1109/TITS.2021.3119546.

• Clemens Linnhoff, Philipp Rosenberger, Simon Schmidt, Lukas Elster, Rainer Stark, Hermann Winner: Towards Serious Perception Sensor Simulation for Safety Validation of Automated Driving - A Collaborative Method to Specify Sensor Models. In: IEEE ITSC 2021, Indianapolis, 19.-21.09.2021.

• Stefanie Walz, Mario Bijelic, Florian Kraus, Werner Ritter, Martin Simon, Igor Doric: A Benchmark for Spray from Nearby Cutting Vehicles. In: IEEE ITSC 2021, Indianapolis, 19.-21.09.2021.

• Patrik Schneider, Martin Butz, Christian Heinzemann, Jens Oehlerking, Matthias Woehrle: Towards threat metric evaluation in complex urban scenarios. In: IEEE ITSC 2021, Indianapolis, 19.-21.09.2021.

• Hans Nikolaus Beck, Nayel Fabian Salem, Veronica Haber, Matthias Rauschenbach, Jan Reich: Phänomen-Signal-Modell: Formalismus, Graph und Anwendung. 31.07.2021.

• Maike Scholtes, Lutz Eckstein: Systematic Categorization of Influencing Factors on Radar-Based Perception to Facilitate Complex Real-World Data Evaluation. In: IEEE Intelligent Vehicles Symposium, Nagoya, 11.15.06.2021.

• Matthias Rauschenbach, Christian Wolschke, Tobias Braun, Simon Kupjetz: Ansatz zur methodischen Analyse und Absicherung des Funktionalkonzepts voll automatisierter Kraftfahrzeuge. In: 30. VDI-Fachtagung Technische Zuverlässigkeit 2021, Nürtingen, 27.-28.04.2021.

• Michael Hoß, Maike Scholtes, Lutz Eckstein: A Review of Testing Object-Based Environment Perception for Safe Automated Driving. 2021.

• Lukas Elster, Clemens Linnhoff, Philipp Rosenberger, Simon Schmidt, Rainer Stark, Hermann Winner: Fundamental Design Criteria for Logical Scenarios in Simulation-based Safety Validation of Automated Driving Using Sensor Model Knowledge. In: 32nd International Vehicle Symposium.

• Clemens Linnhoff, Philipp Rosenberger, Martin Friedrich Holder, Nicodemo Cianciaruso, Hermann Winner: Highly Parameterizable and Generic Perception Sensor Model Architecture. In: 6. Internationale ATZ-Fachtagung Automatisiertes Fahren, Wiesbaden, Germany, October 13-14 2020.

• Christian Amersbach, Timm Ruppert, Niclas Hebgen, HermannWinner: Macroscopic Safety Requirements for Highly Automated Driving in Urban Environments. In: 13. Graz Symposium Virtual Vehicle (GSVF), Graz, 01.-02.09.2020.

• Robert Krajewski, Michael Hoss, Adrian Meister, Fabian Thomsen, Julian Bock, Lutz Eckstein: Using drones as reference sensors for neural-networks-based modeling of automotive perception errors. In: 2020 IEEE Intelligent Vehicles Symposium (IV), Las Vegas, NV, USA, 2020, pp. 708-715, doi: 10.1109/IV47402.2020.9304615.

• Christian Neurohr, Lukas Westhofen, Tabea Henning, Thies de Graaff, Eike Möhlmann, Eckard Böde: Fundamental Arguments around Scenario-Based Testing for Automated Driving. In: 2020 IEEE Intelligent Vehicles Symposium (IV), Las Vegas, NV, USA, 2020, pp. 121-127, doi: 10.1109/IV47402.2020.9304823.

• Christian Neurohr, Lukas Westhofen, Martin Butz, Martin Bollmann, Ulrich Eberle, Roland Galbas: Criticality Analysis for the Verification and Validation of Automated Vehicles. In: IEEE Access, doi: 10.1109/ACCESS.2021.3053159.

• Maike Scholtes, Lukas Westhofen, Lara Ruth Turner, Katrin Lotto, Michael Schuldes, Hendrik Weber, Nicolas Wagener, Christian Neurohr, Martin Herbert Bollmann, Franziska Körtke, Johannes Hiller, Michael Hoss, Julian Bock, Lutz Eckstein: 6-Layer Model for a Structured Description and Categorization of Urban Traffic and Environment. In: IEEE Access, vol. 9, pp. 59131-59147, 2021, doi: 10.1109/ACCESS.2021.3072739.

• Cheng Wang, Fanglei Xiong, Hermann Winner: Reduction of Uncertainties for Safety Assessment of Automated Driving under Parallel Simulations. In: IEEE IV Transactions, 17.03.2020

• Hans Nikolaus Beck, Thomas Göppel, Stefan Specht: Begriffsmethodik zur Identifikation und Kommunikation einer Fachsprache. Überlegungen zum systematischen Erarbeiten von intentionalen fachspezifischen Begriffsregistern. 17.02.2020.