@inproceedings{32c902a52f8d48bd8c9c39571041a219,
title = "Triggering Conditions Analysis and Use Case for Validation of ADAS/ADS Functions",
abstract = "Safety in the automotive domain is a well-known topic, which has been in constant development in the past years. The complexity of new systems that add more advanced components in each function has opened new trends that have to be covered from the safety perspective. In this case, not only specifications and requirements have to be covered but also scenarios, which cover all relevant information of the vehicle environment. Many of them are not yet still sufficient defined or considered. In this context, Safety of the Intended Functionality (SOTIF) appears to ensure the system when it might fail because of technological shortcomings or misuses by users. An identification of the plausibly insufficiencies of ADAS/ADS functions has to be done to discover the potential triggering conditions that can lead to these unknown scenarios, which might effect a hazardous behaviour. The main goal of this publication is the definition of an use case to identify these triggering conditions that have been applied to the collision avoidance function implemented in our self-developed mobile Hardware-in-Loop (HiL) platform.",
keywords = "ADAS, Automated Driving Systems, SOTIF, Triggering conditions",
author = "{Exp{\'o}sito Jim{\'e}nez}, {V{\'i}ctor J.} and Helmut Martin and Christian Schwarzl and Georg Macher and Eugen Brenner",
note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 41st International Conference on Computer Safety, Reliability and Security : SafeComp 2022, SAFECOMP 2022 ; Conference date: 06-09-2022 Through 09-09-2022",
year = "2022",
doi = "10.1007/978-3-031-14862-0_1",
language = "English",
isbn = "9783031148613",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "11--22",
editor = "Mario Trapp and Erwin Schoitsch and J{\'e}r{\'e}mie Guiochet and Friedemann Bitsch",
booktitle = "Computer Safety, Reliability, and Security. SAFECOMP 2022 Workshops",
address = "Germany",
}