Q&A moderated by Dr. Hong Wang, Associate Research Professor at the School of Vehicle and Mobility, Tsinghua University, and Deputy Executive Director, CAICV-SOTIF Technical Alliance; with Dr. Adrian Zlocki, Head of Automated Driving, fka GmbH; and Stefan de Vries, Project Manager & Business Developer, Connected and Automated Vehicles, Applus IDIADA

Stefan de Vries, Project Manager & Business Developer, Connected and Automated Vehicles, Applus IDIADA

Abstract: Safety of the intended functionality (SOTIF) is about ensuring the absence of unreasonable risk due to performance limitations, function insufficiencies and foreseeable misuse. Whereas SOTIF verificationfocusses on reduction of the known unsafe scenarios in controlled environments, SOTIF validation aims to disclose unknown unsafe scenarios by virtual simulation and driving on public roads. To reduce the large driving effort required to validate the safety of automated vehicle functions, Applus IDIADA developed a route selection method designed to identify routes with an above-average probability of encountering challenging elements. And to statistically demonstrate reliability, Applus IDIADA developed a method to calculate a target mileage taking human performance as a benchmark.