Scenario-Based Systems Engineering: An Approach Towards Automated Driving Function Development

Sippl, Christoph; Bock, Florian; Lauer, Christoph; Heinz, Andreas; Thomas, Neumayer; German, Reinhard

doi:10.1109/syscon.2019.8836763

Cited by 22 publications

(7 citation statements)

References 9 publications

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“…In [55], a method for continuous usage of scenarios, embedded in the systems engineering process, was proposed by dividing complex and intangible development goals into smaller solvable tasks. The authors place the tracing and verification task of the requirements in the step "Scenario-based methods" of the overall method.…”

Section: Tracing and Verificationmentioning

confidence: 99%

Formal requirements modeling for cyber-physical systems engineering: an integrated solution based on FORM-L and Modelica

et al. 2021

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The increasing complexity of cyber-physical systems (CPSs) makes their design, development and operation extremely challenging. Due to the nature of CPS that involves many heterogeneous components, which are often designed and developed by organizations belonging to different engineering domains, it is difficult to manage, trace and verify their properties, requirements and constraints throughout their lifecycle by using classical techniques. In this context, the paper presents an integrated solution to formally define system requirements and automate their verification through simulation. The solution is based on the FOrmal Requirements Modeling Language and the Modelica language. The solution is exemplified through two case studies concerning a Trailing-Edge High-Lift system and a Heating, Ventilation and Air Conditioning system.

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Section: Tracing and Verificationmentioning

confidence: 99%

Formal requirements modeling for cyber-physical systems engineering: an integrated solution based on FORM-L and Modelica

et al. 2021

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“…To test automated driving functions, the traffic scenarios are described in a machine-readable manner and the function under test is exposed to these scenarios using an environment simulation [25][26][27]. Furthermore, exploratory environment simulations can help to identify critical scenarios for the function under development during early development stages, when requirements are not yet fully defined [28].…”

Section: Literature and Requirements Reviewmentioning

confidence: 99%

Spatio-Semantic Road Space Modeling for Vehicle–Pedestrian Simulation to Test Automated Driving Systems

2020

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Automated driving technologies offer the opportunity to substantially reduce the number of road accidents and fatalities. This requires the development of systems that can handle traffic scenarios more reliable than the human driver. The extreme number of traffic scenarios, though, causes enormous challenges in testing and proving the correct system functioning. Due to its efficiency and reproducibility, the test procedure will involve environment simulations to which the system under test is exposed. A combination of traffic, driving and Vulnerable Road User (VRU) simulation is therefore required for a holistic environment simulation. Since these simulators have different requirements and support various formats, a concept for integrated spatio-semantic road space modeling is proposed in this paper. For this purpose, the established standard OpenDRIVE, which describes road networks with their topology for submicroscopic driving simulation and HD maps, is combined with the internationally used semantic 3D city model standard CityGML. Both standards complement each other, and their combination opens the potentials of both application domains—automotive and 3D GIS. As a result, existing HD maps can now be used by model processing tools, enabling their transformation to the target formats of the respective simulators. Based on this, we demonstrate a distributed environment simulation with the submicroscopic driving simulator Virtual Test Drive and the pedestrian simulator MomenTUM at a sensitive crossing in the city of Ingolstadt. Both simulators are coupled at runtime and the architecture supports the integration of automated driving functions.

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“…The challenge is to quantify this gap and to answer the question whether this gap can be kept sufficiently narrow to allow credible virtual testing. In scenario-based testing [8], [9], the virtual world is limited to a concrete setting. Other traffic participants such as Simulation Open Road credibility gap ?…”

Section: Introductionmentioning

confidence: 99%

A Credibility Assessment Approach for Scenario-Based Virtual Testing of Automated Driving Functions

Stadler¹,

Montanari²,

Baron

et al. 2022

IEEE Open J. Intell. Transp. Syst.

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An immense test space is pushing the development and testing of automated driving functions from real to virtual environments. The virtual world is provided by interconnected simulation models representing sensors, vehicle dynamics, and both static and dynamic environment. For the virtual validation of automated driving, special attention must be paid to the simulation's credibility, which can be impaired by inappropriate or inaccurate simulation models and tools. Therefore, in this work a method is proposed to assess the credibility of simulation-based testing for automated driving. The approach allows a qualitative and relatively quantitative comparisons between scenarios as well as between different simulation setups. Therefore, several uni-and multivariate metrics are applied towards a scoring of similarity of the behavior between simulation and real test drive. This is achieved by using ground truth data in form of simulation scenarios from real world measurement data. In this way, the virtual automated vehicle encounters the same conditions and surroundings than its counterpart in the real world for evaluating their similarity. The practical applicability of the proposed credibility assessment approach is demonstrated in a case study, in which the credibility of an exemplary simulation-based test bench is inferred.

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Scenario-Based Systems Engineering: An Approach Towards Automated Driving Function Development

Cited by 22 publications

References 9 publications

Formal requirements modeling for cyber-physical systems engineering: an integrated solution based on FORM-L and Modelica

Formal requirements modeling for cyber-physical systems engineering: an integrated solution based on FORM-L and Modelica

Spatio-Semantic Road Space Modeling for Vehicle–Pedestrian Simulation to Test Automated Driving Systems

A Credibility Assessment Approach for Scenario-Based Virtual Testing of Automated Driving Functions

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