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08.03.2022

Papers

Hier finden Sie eine Liste der Paper, die unter Beteilung von SET Level entstanden sind.

Titel: Modeling and Simulation of Radar Sensor Artifacts for Virtual Testing of Autonomous Driving
Autoren: Martin F. Holder, Clemens Linnhoff, Philipp Rosenberger, Christoph Popp, Hermann Winner
Veröffentlicht an 9. Tagung Automatisiertes Fahren, München, 21.-22.11.2019
Link: https://mediatum.ub.tum.de/1535116?show_id=1535151&style=full_text

Titel: How to evaluate synthetic radar data? Lessons learned from finding driveable space in virtual environments
Autoren: Martin F. Holder, Jan R. Thielmann, Philipp Rosenberger, Clemens Linnhoff, Hermann Winner
Veröffentlicht an 13. Workshop Fahrerassistenzsysteme und automatisiertes Fahren, Walting, 03.06.2020
Link: http://tubiblio.ulb.tu-darmstadt.de/120963/

Titel: Usage of Operating System Kernel Paradigms to Build Modern Simulation Platforms for Autonomous Driving
Autoren: Max Bauer, Anthony Ngo, Michael Resch
Veröffentlicht in Asia-Pacific Conference on Intelligent Robot Systems (ACIRS), (Singapore, Singapore), pp. 80–85, IEEE, July 2020.
Link: https://ieeexplore.ieee.org/document/9162620

Titel: Generation of Complex Road Networks Using a Simplified Logical Description for the Validation of Automated Vehicles
Autoren: Daniel Becker, Fabian Ruß, Christian Geller, Lutz Eckstein
Veröffentlicht bei 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC), 20.– 23.09.2020
DOI: 10.1109/ITSC45102.2020.9294664
Link: https://ieeexplore.ieee.org/abstract/document/9294664

Titel: Highly Parameterizable and Generic Perception Sensor Model Architecture - A Modular Approach for Simulation Based Safety Validation of Automated Driving
Autoren: Clemens Linnhoff, Philipp Rosenberger, Martin Friedrich Holder, Nicodemo Cianciaruso, Hermann Winner
Veröffentlicht an 6th International ATZ Conference Automated Driving, Wiesbaden, 13.10. - 14.10.2020
Link: https://tuprints.ulb.tu-darmstadt.de/18672/

Titel: A Sensitivity Analysis Approach for Evaluating a Radar Simulation for Virtual Testing of Autonomous Driving Functions
Autoren: Anthony Ngo, Max Bauer, Michael Resch
Veröffentlicht in Asia-Pacific Conference on Intelligent Robot Systems (ACIRS), (Singapore, Singapore), pp. 122–128, 2020.
Link: https://ieeexplore.ieee.org/document/9162598

Titel: Sequential lidar sensor system simulation: A modular approach for simulation-based safety validation of automated driving
Autoren: Philipp Rosenberger, Martin Friedrich Holder, Nicodemo Cianciaruso, Philip Aust, Jonas Franz Tamm-Morschel, Clemens Linnhoff, Hermann Winner
Veröffentlicht in Automotive and Engine Technology volume 5, pages 187–197 (2020)
Link: https://link.springer.com/article/10.1007/s41104-020-00066-x

Titel: Deep Evaluation Metric: Learning to Evaluate Simulated Radar Point Clouds for Virtual Testing of Autonomous Driving
Autoren: Anthony Ngo, Max Bauer, Michael Resch
Veröffentlicht in IEEE Radar Conference (RadarConf21), (Atlanta, GA, USA), pp. 1–6, 2021. 07.-14.05.2021
Link: https://ieeexplore.ieee.org/document/9455235

Titel: Criticality Metrics for Automated Vehicles: A Suitability Analysis
Autoren: Lukas Westhofen, Christian Neurohr, Tjark Koopmann, Martin Butz, Barbara Schutt, Fabian Utesch, Birte Kramer, Christian Gutenkunst and Eckard Bode
Eingereicht am 16.07.2021 beim Springer Nature Journal "Archives of Computational Methods in Engineering"

Titel: Fundamental Design Criteria for Logical Scenarios in Simulation-based Safety Validation of Automated Driving Using Sensor Model Knowledge
Autoren: Lukas Elster, Clemens Linnhoff, Philipp Rosenberger, Simon Schmidt, Rainer Stark and Hermann Winner Eingereicht für das 32nd Intelligent Vehicles Symposium (IV), Nagoya, Japan, 11.-15.07.2021

Titel: A Multi-Layered Approach for Measuring the Simulation-to-Reality Gap of Radar Perception for Autonomous Driving
Autoren: Anthony Ngo, Max Bauer, Michael Resch
Veröffentlicht in IEEE International Intelligent Transportation Systems Conference (ITSC), (Indianapolis, IN, USA), p. 4008-4014, 2021.
Link: https://ieeexplore.ieee.org/document/9564521

Titel: Modeling Multi-Driver Interaction in Intersection Scenarios Based on a Hybrid Game Approach
Autoren: Markus Lemmer, Stefan Schwab and Soren Hohmann
Eingereicht für die CCTA 2021, San Diego, USA, 08.-11.08.2021

Titel: Towards Serious Perception Sensor Simulation for Safety Validation of Automated Driving - A Collaborative Method to Specify Sensor Models
Autoren: Clemens Linnhoff, Philipp Rosenberger, Simon Schmidt, Lukas Elster, Rainer Stark, Hermann Winner
Veröffentlicht an 2021 IEEE International Intelligent Transportation Systems Conference (ITSC), Indianapolis, 19.-22.09.2021
Link: https://ieeexplore.ieee.org/document/9564661

Titel: The YASE Framework: Holistic Scenario Modeling with Behavior Trees
Autoren: Max Bauer, Anthony Ngo, Michael Resch
Eingereicht für die Vehicular Technology Conference (VTC2021-Fall), IEEE, 27.-30.09.2021

Titel: Toward a Consistent Taxonomy for Scenario-Based Development and Test Approaches for Automated Vehicles: A Proposal for a Structuring Framework, a Basic Vocabulary, and Its Application
Autoren: Markus Steimle, Till Menzel, and Markus Maurer
Open Access veröffentlicht am 27.10.2021 in IEEE Access, vol. 9, pp. 147828-147854, 2021, doi: 10.1109/ACCESS.2021.3123504
Link: https://ieeexplore.ieee.org/document/9590520

Titel: Refining Object-Based Lidar Sensor Modeling — Challenging Ray Tracing as the Magic Bullet
Autoren: Clemens Linnhoff, Philipp Rosenberger, Hermann Winner
Veröffentlicht in IEEE Sensors Journal, Volume: 21, Issue: 21, 01.11.2021
Link: https://ieeexplore.ieee.org/document/9548071

Titel: Agentenmodell für die Closed-Loop-Simulation von Verkehrszenarien
Autoren: Daniel Becker, Jens Klimke, Lutz Eckstein
Veröffentlicht in ATZelektronik 05 Mai 2021, 16. Jahrgang, S.42-46
Link: https://www.springerprofessional.de/agentenmodell-fuer-die-closed-loop-simulation-von-verkehrsszenar/19141908

Titel: Toward Generating Sufficiently Valid Test Case Results: A Method for Systematically Assigning Test Cases to Test Bench Configurations in a Scenario-Based Test Approach for Automated Vehicles
Autoren: Markus Steimle, Nico Weber, Markus Maurer
Open Access veröffentlicht am 07.01.2022 in IEEE Access, vol. 10, pp. 6260-6285, 2022, doi: 10.1109/ACCESS.2022.3141198 Link: https://ieeexplore.ieee.org/document/9673760

Titel: Vehicle simulation model chain for virtual testing of automated driving functions and systems
Autoren: R. Bartolozzi, V. Landersheim, G. Stoll, H. Holzmann, R. Möller und H. Atzrodt
Eingereicht für 2022 33rd IEEE Intelligent Vehicles Symposium (IV), Aachen, Germany June 5-9, 2022

Titel: A Taxonomy for Quality in Simulation-based Development and Testing of Automated Driving Systems
Autoren: Barbara Schütt, Markus Steimle, Birte Kramer, Danny Behnecke, and Eric Sax
DOI: 10.1109/ACCESS.2022.3149542
Open Access veröffentlicht in IEEE Access, vol. 10, pp. XX, 2022