Safety assessment of automated vehicle functions by simulation-based fault injection

Garazi Juez, Estibaliz Amparan, Ray Lattarulo, Joshue Perez Rastelli, Alejandra Ruiz, Huascar Espinoza

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

9 Citations (Scopus)

Abstract

As automated driving vehicles become more sophisticated and pervasive, it is increasingly important to assure its safety even in the presence of faults. This paper presents a simulation-based fault injection approach (Sabotage) aimed at assessing the safety of automated vehicle functions. In particular, we focus on a case study to forecast fault effects during the model-based design of a lateral control function. The goal is to determine the acceptable fault detection interval for permanent faults based on the maximum lateral error and steering saturation. In this work, we performed fault injection simulations to derive the most appropriate safety goals, safety requirements, and fault handling strategies at an early concept phase of an ISO 26262-compliant safety assessment process.
Original languageEnglish
Title of host publicationunknown
PublisherIEEE
Pages214-219
Number of pages6
ISBN (Electronic)978-1-5090-5677-4, 9781509056774
ISBN (Print)978-1-5090-5678-1
DOIs
Publication statusPublished - 27 Jul 2017
Event2017 IEEE International Conference on Vehicular Electronics and Safety, ICVES 2017 - Vienna, Austria
Duration: 27 Jun 201728 Jun 2017

Publication series

Name2017 IEEE International Conference on Vehicular Electronics and Safety, ICVES 2017

Conference

Conference2017 IEEE International Conference on Vehicular Electronics and Safety, ICVES 2017
Country/TerritoryAustria
CityVienna
Period27/06/1728/06/17

Keywords

  • Circuit faults
  • ISO Standards
  • Controllability
  • Trajectory
  • Computer architecture
  • Hazards

Project and Funding Information

  • Project ID
  • info:eu-repo/grantAgreement/EC/H2020/692474/EU/Architecture-driven, Multi-concern and Seamless Assurance and Certification of Cyber-Physical Systems/AMASS
  • Funding Info
  • The authors have partially received funding from the ECSEL JU AMASS project under H2020 grant agreement No 692474 and from MINETUR (Spain).

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