@conference{Kra2020,
Author = {Birte Kramer, Christian Neurohr, Matthias Büker, Eckard Böde, Martin Fränzle, Werner Damm},
Title = {Identification and Quantification of Hazardous Scenarios for Automated Driving},

Year = {2020},
Pages = {163--178},
Editor = {Zeller, Marc and Höfig, Kai},
Publisher = {Lecture Notes in Computer Science (LNCS)},
Address = {Cham},
Edition = {vol 12297},
Isbn = {978-3-030-58920-2},
Booktitle = {Model-Based Safety and Assessment},
Doi = {10.1007/978-3-030-58920-2_11},
Url = {https://link.springer.com/chapter/10.1007%2F978-3-030-58920-2_11},
type = {conference},
Abstract = {We present an integrated method for safety assessment of automated driving systems which covers the aspects of functional safety and safety of the intended functionality (SOTIF), including identification and quantification of hazardous scenarios. The proposed method uses and combines established exploration and analytical tools for hazard analysis and risk assessment in the automotive domain, while adding important enhancements to enable their applicability to the uncharted territory of safety analyses for automated driving. The method is tailored to support existing safety processes mandated by the standards ISO 26262 and ISO/PAS 21448 and complements them where necessary. It has been developed in close cooperation with major German automotive manufacturers and suppliers within the PEGASUS project (https://www.pegasusprojekt.de/en). Practical evaluation has been carried out by applying the method to the PEGASUS Highway-Chauffeur, a conceptual automated driving function considered as a common reference system within the project.}
}
@COMMENT{Bibtex file generated on }