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 language | English |
|---|---|
| Title of host publication | unknown |
| Publisher | IEEE |
| Pages | 214-219 |
| Number of pages | 6 |
| ISBN (Electronic) | 978-1-5090-5677-4, 9781509056774 |
| ISBN (Print) | 978-1-5090-5678-1 |
| DOIs | |
| Publication status | Published - 27 Jul 2017 |
| Event | 2017 IEEE International Conference on Vehicular Electronics and Safety, ICVES 2017 - Vienna, Austria Duration: 27 Jun 2017 → 28 Jun 2017 |
Publication series
| Name | 2017 IEEE International Conference on Vehicular Electronics and Safety, ICVES 2017 |
|---|
Conference
| Conference | 2017 IEEE International Conference on Vehicular Electronics and Safety, ICVES 2017 |
|---|---|
| Country/Territory | Austria |
| City | Vienna |
| Period | 27/06/17 → 28/06/17 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 7 Affordable and Clean Energy
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SDG 9 Industry, Innovation, and Infrastructure
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SDG 12 Responsible Consumption and Production
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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