Triggering Conditions Analysis and Use Case for Validation of ADAS/ADS Functions

Víctor J. Expósito Jiménez; Helmut Martin; Christian Schwarzl; Georg Macher; Eugen Brenner

doi:10.1007/978-3-031-14862-0_1

Triggering Conditions Analysis and Use Case for Validation of ADAS/ADS Functions

Víctor J. Expósito Jiménez^*, Helmut Martin, Christian Schwarzl, Georg Macher, Eugen Brenner

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

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.

Original language	English
Title of host publication	Computer Safety, Reliability, and Security. SAFECOMP 2022 Workshops
Subtitle of host publication	DECSoS, DepDevOps, SASSUR, SENSEI, USDAI, and WAISE, Proceedings
Editors	Mario Trapp, Erwin Schoitsch, Jérémie Guiochet, Friedemann Bitsch
Place of Publication	Cham
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	11-22
Number of pages	12
ISBN (Print)	9783031148613
DOIs	https://doi.org/10.1007/978-3-031-14862-0_1
Publication status	Published - 2022
Event	41st International Conference on Computer Safety, Reliability and Security: SafeComp 2022 - online, Munich, Germany Duration: 6 Sept 2022 → 9 Sept 2022

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	13415 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	41st International Conference on Computer Safety, Reliability and Security
Abbreviated title	SAFECOMP 2022
Country/Territory	Germany
City	Munich
Period	6/09/22 → 9/09/22

Keywords

ADAS
Automated Driving Systems
SOTIF
Triggering conditions

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-031-14862-0_1

Cite this

Expósito Jiménez, V. J., Martin, H., Schwarzl, C., Macher, G., & Brenner, E. (2022). Triggering Conditions Analysis and Use Case for Validation of ADAS/ADS Functions. In M. Trapp, E. Schoitsch, J. Guiochet, & F. Bitsch (Eds.), Computer Safety, Reliability, and Security. SAFECOMP 2022 Workshops: DECSoS, DepDevOps, SASSUR, SENSEI, USDAI, and WAISE, Proceedings (pp. 11-22). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13415 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-14862-0_1

Triggering Conditions Analysis and Use Case for Validation of ADAS/ADS Functions. / Expósito Jiménez, Víctor J.; Martin, Helmut; Schwarzl, Christian et al.
Computer Safety, Reliability, and Security. SAFECOMP 2022 Workshops: DECSoS, DepDevOps, SASSUR, SENSEI, USDAI, and WAISE, Proceedings. ed. / Mario Trapp; Erwin Schoitsch; Jérémie Guiochet; Friedemann Bitsch. Cham: Springer Science and Business Media Deutschland GmbH, 2022. p. 11-22 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13415 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

Expósito Jiménez, VJ, Martin, H, Schwarzl, C, Macher, G & Brenner, E 2022, Triggering Conditions Analysis and Use Case for Validation of ADAS/ADS Functions. in M Trapp, E Schoitsch, J Guiochet & F Bitsch (eds), Computer Safety, Reliability, and Security. SAFECOMP 2022 Workshops: DECSoS, DepDevOps, SASSUR, SENSEI, USDAI, and WAISE, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13415 LNCS, Springer Science and Business Media Deutschland GmbH, Cham, pp. 11-22, 41st International Conference on Computer Safety, Reliability and Security, Munich, Germany, 6/09/22. https://doi.org/10.1007/978-3-031-14862-0_1

Expósito Jiménez VJ, Martin H, Schwarzl C, Macher G , Brenner E. Triggering Conditions Analysis and Use Case for Validation of ADAS/ADS Functions. In Trapp M, Schoitsch E, Guiochet J, Bitsch F, editors, Computer Safety, Reliability, and Security. SAFECOMP 2022 Workshops: DECSoS, DepDevOps, SASSUR, SENSEI, USDAI, and WAISE, Proceedings. Cham: Springer Science and Business Media Deutschland GmbH. 2022. p. 11-22. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-031-14862-0_1

Expósito Jiménez, Víctor J. ; Martin, Helmut ; Schwarzl, Christian et al. / Triggering Conditions Analysis and Use Case for Validation of ADAS/ADS Functions. Computer Safety, Reliability, and Security. SAFECOMP 2022 Workshops: DECSoS, DepDevOps, SASSUR, SENSEI, USDAI, and WAISE, Proceedings. editor / Mario Trapp ; Erwin Schoitsch ; Jérémie Guiochet ; Friedemann Bitsch. Cham : Springer Science and Business Media Deutschland GmbH, 2022. pp. 11-22 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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