Characterizing the safety of automated vehicles /

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Safety has been ranked as the number one concern for the acceptance and adoption of automated vehicles since safety has driven some of the most complex requirements in the development of self-driving vehicles. Recent fatal accidents involving self-driving vehicles have uncovered issues in the way so...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Pimentel, Juan R. (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Warrendale, Pennsylvania : SAE International, [2019]
Colección:Automated vehicle safety series ; bk. 1.
Temas:
Automated guided vehicle systems > Safety measures.
Véhicules autoguidés > Sécurité > Mesures.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Cover
  • Table of Contents
  • Introduction
  • FUNCIONAL SAFETY PAPERS
  • CHAPTER 1 The Development of Safety Cases for an Autonomous Vehicle: A Comparative Study on Different Methods
  • Introduction
  • Vehicle Layout and ISO26262
  • Vehicle Control System and Propulsion System
  • ISO26262 Road Vehicle Functional Safety Standard
  • Failure Model and Effects Analysis Method
  • Goal Structuring Notation Method
  • Safety Case Development
  • Case Study
  • Conclusions
  • Contact Information
  • Acknowledgments
  • Definitions/Abbreviations
  • References
  • CHAPTER 2 A Means of Assessing the Entire Functional Safety Hazard Space
  • Introduction
  • Background
  • Related Work
  • Overview of Hazard Space Analysis (HSA)
  • HSA Notation Format
  • Generation of Hazard Space
  • Partitioning of a Single-Caused Hazard Space
  • Safety Rules from Hazard Scenarios
  • Aviation Safety Example
  • Managing a Large Hazard Space
  • Risk Assessment
  • Safety Requirements
  • Discussion and Limitations
  • Conclusion
  • Contact Information
  • References
  • CHAPTER 3 A Model-Driven Approach for Dependent Failure Analysis in Consideration of Multicore Processors Using Modified EAST-ADL
  • Introduction
  • Description of the Approach
  • Approach of System and Safety Modeling
  • Approach of DFA-Analysis
  • A. Necessary Developments of EAST-ADL for the DFA Analysis
  • B. Description of DFA-Analysis and Safety Analysis
  • C. Use-Case and Reports
  • Conclusions
  • Contact Information
  • Acknowledgments
  • References
  • CHAPTER 4 An Analysis of ISO 26262: Machine Learning and Safety in Automotive Software
  • Introduction
  • Background
  • ISO 26262
  • Machine Learning
  • Non-Transparency
  • Error Rate
  • Training-Based
  • Instability
  • Analysis of ISO 26262
  • Identifying Hazards
  • Recommendations for ISO 26262
  • Faults and Failure Modes
  • Recommendations for ISO 26262
  • Specification and Verification
  • Recommendations for ISO 26262
  • Level of ML Usage
  • Recommendations for ISO 26262
  • Required Software Techniques
  • Recommendations for ISO 26262
  • Summary and Conclusion
  • Identifying Hazards
  • Fault and Failure Modes
  • Specification and Verification
  • The Level of ML Usage
  • Required Software Techniques
  • Acknowledgment

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