Automated Function Assessment in Driving Scenarios

King, Christian; Ries, Lennart; Kober, Christopher; Wohlfahrt, Christoph; Sax, Eric

doi:10.1109/icst.2019.00050

Cited by 7 publications

(8 citation statements)

References 9 publications

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“…• divide the simulation quality into three main categories that may occur during scenario-based testing and simulation: the quality regarding the simulation model or tool, the quality of a vehicle or components of it, and the quality of scenarios for testing, and V-model with different X-in-the-loop phases [10] combined with abstraction levels of scenarios at different development stages, adapted from Bock et al [11].…”

Section: Novelty and Main Contribution To The State Of The Artmentioning

confidence: 99%

“…Therefore, it shall be integrated into the development process as early as possible. An established development approval is visualized by the V-model [10] and shown in Fig. 1.…”

Section: A Simulation-and Scenario-based Testingmentioning

confidence: 99%

“…FIGURE 1.V-model with different X-in-the-loop phases[10] combined with abstraction levels of scenarios at different development stages, adapted from Bock et al[11].…”

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confidence: 99%

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A Taxonomy for Quality in Simulation-Based Development and Testing of Automated Driving Systems

et al. 2022

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Ensuring the quality of automated driving systems is a major challenge the automotive industry is facing. In this context, quality defines the degree to which an object meets expectations and requirements. Especially, highly automated and automated vehicles at SAE level 4 and 5 will be expected to operate safely in various contexts and complex situations without misconduct. Thus, a systematic approach is needed to show their safe operation. A way to address this challenge is simulation-based testing as pure physical testing is not feasible for automated driving at level 4 and 5 since several billion kilometers of driving are necessary. During simulation-based testing, the data used to evaluate the actual quality of an automated driving system are generated using a simulation. However, to rely on these simulation data, the overall simulation, which also includes its simulation models, must provide a certain quality level. This quality level depends on the intended purpose for which the generated simulation data should be used. Therefore, three categories of quality can be considered: simulation quality (e.g., reliable simulation tool), quality of the automated driving system (e.g., handling of dangerous situations), and scenario quality (e.g., scenario criticality). Quality must be determined and evaluated in various process steps in developing and testing automated driving systems, the overall simulation, and the simulation models used for the simulation. In this paper, we propose a conceptual taxonomy to serve a better understanding of quality in the development and testing process to have a clear separation and insight where further testing is neededboth in terms of automated driving systems and simulation, including their simulation models and scenarios used for testing.

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Section: Novelty and Main Contribution To The State Of The Artmentioning

confidence: 99%

“…Therefore, it shall be integrated into the development process as early as possible. An established development approval is visualized by the V-model [10] and shown in Fig. 1.…”

Section: A Simulation-and Scenario-based Testingmentioning

confidence: 99%

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A Taxonomy for Quality in Simulation-Based Development and Testing of Automated Driving Systems

et al. 2022

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“…Compared to traditional software testing, scenario-based test approaches require the possibility that evaluation criteria are applied only within certain periods under certain circumstances [45]. For example, consider the verification of the automated deceleration of a vehicle by an ACC system, where the ACC system is activated at a specific point in time within the scenario.…”

Section: ) Test Planning Phasementioning

confidence: 99%

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

Steimle¹,

Menzel

Maurer

2021

IEEE Access

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This research is funded by the German Federal Ministry for Economic Affairs and Energy within the project "SET Level -Simulation-based development and testing of automated driving," a successor project to the PEGASUS project and a project in the PEGASUS family (German abbreviation of Simulationsbasiertes Entwickeln und Testen von automatisiertem Fahren). The results presented in this publication reflect the authors' opinions and not necessarily the opinion of all project participants.

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“…Therefore, it shall be integrated into the development process as early as possible. An establish development approval is visualized by the V-Model [18] and shown in Fig. 1.…”

Section: Simulation-and Scenario-based Testingmentioning

confidence: 99%

A taxonomy for quality in simulation-based development and testing of automated driving systems

Schütt,

Steimle,

Kramer

et al. 2021

Preprint

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Ensuring the safety and performance requirements of automated driving systems is a major challenge for the automotive industry.One way to tackle this problem is a simulation-based approach. However, to be able to rely on results generated by this method, the simulation process needs to fulfill certain quality criteria depending on the intended usage. Hence, quality should be measured and determined at many different levels and areas of the testing and developing landscape, providing information with varying degrees of abstraction. Additionally, quality not only has to be assessed for a complete automated driving system but also for the simulation models that approximate the vehicles' components before they can be used for simulation. This taxonomy provides a better understanding of the concept of quality during the development and test process and introduces the possibility to systematically evaluate whether development steps in this process need to be repeated or further assessed.

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Automated Function Assessment in Driving Scenarios

Cited by 7 publications

References 9 publications

A Taxonomy for Quality in Simulation-Based Development and Testing of Automated Driving Systems

A Taxonomy for Quality in Simulation-Based Development and Testing of Automated Driving Systems

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

A taxonomy for quality in simulation-based development and testing of automated driving systems

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