An Approach for Deriving Reduced Collision Scenarios for Highly Automated Driving Systems
- Scenario analysis is essential for the validation of highly automated driving (HAD) systems. The complexity of overall system safety is increasing in terms of Functional Safety (FuSa) and Safety of Intended Functionality (SOTIF). However, field testing of all possible safety-critical scenarios is hardly possible for automated vehicles. Therefore, scenario simulation is necessary for HAD to support the validation process and has gained acceptance in recent years. However, scenariobased analysis leads to an explosion of scenarios, so a scenario database is required at the beginning of the development phase. Hence, scenario reduction approaches need to be integrated in the conceptual phase to reduce the scenario modeling and testing effort. The contribution of this paper is to present simulation-based testing approaches for determining a reduced set of collision scenarios, taking into account the sensitivity of safety-critical parameters. Furthermore, a set of application scenarios is simulated to demonstrate the scenario reductionScenario analysis is essential for the validation of highly automated driving (HAD) systems. The complexity of overall system safety is increasing in terms of Functional Safety (FuSa) and Safety of Intended Functionality (SOTIF). However, field testing of all possible safety-critical scenarios is hardly possible for automated vehicles. Therefore, scenario simulation is necessary for HAD to support the validation process and has gained acceptance in recent years. However, scenariobased analysis leads to an explosion of scenarios, so a scenario database is required at the beginning of the development phase. Hence, scenario reduction approaches need to be integrated in the conceptual phase to reduce the scenario modeling and testing effort. The contribution of this paper is to present simulation-based testing approaches for determining a reduced set of collision scenarios, taking into account the sensitivity of safety-critical parameters. Furthermore, a set of application scenarios is simulated to demonstrate the scenario reduction approaches by considering the detected collisions under a specific or restricted Operational Design Domain (ODD). In addition, this study supports the provision of a safety argument with evidence by introducing a variance-based sensitivity analysis and a scenario database that can be used as an input data set for an artificial intelligence system.…
Author: | Marzana KhatunORCiD, Heinrich Litagin, Rolf Jung, Michael GlaßORCiD |
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DOI: | https://doi.org/10.1007/978-3-031-14862-0_13 |
Identifier: | 978-3-031-14861-3 OPAC HS OPAC extern |
Identifier: | 978-3-031-14862-0 OPAC HS OPAC extern |
Parent Title (English): | Computer Safety, Reliability, and Security. SAFECOMP 2022 Workshops: DECSoS, DepDevOps, SASSUR, SENSEI, USDAI, and WAISE Munich, Germany, September 6–9, 2022 Proceedings |
Publisher: | Springer Nature Switzerland |
Place of publication: | Cham |
Editor: | Mario Trapp, Erwin Schoitsch, Jérémie Guiochet, Friedemann Bitsch |
Document Type: | conference proceeding (article) |
Conference: | DECSoS, DepDevOps, SASSUR, SENSEI, USDAI, and WAISE Munich, Germany, September 6–9, 2022 |
Language: | English |
Date of Publication (online): | 2022/09/07 |
Year of first Publication: | 2022 |
Tag: | CarMaker; Functional Safety; Highly Automated Driving System; Lane Change; Parameter variation |
Number of pages: | 12 Seiten |
First Page: | 166 |
Last Page: | 177 |
Institutes: | IFM - Institut für Fahrerassistenz und vernetzte Mobilität |
Dewey Decimal Classification: | 6 Technik, Medizin, angewandte Wissenschaften / 62 Ingenieurwissenschaften |
Research focus: | FSP2: Mobilität |
Eigenständige Forschungsfelder | |
Publication Lists: | Jung, Rolf |
Khatun, Marzana | |
Litagin, Heinrich | |
Publication reviewed: | begutachtet |
Release Date: | 2022/09/12 |