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Characterizing the safety of automated vehicles /
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...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Warrendale, Pennsylvania :
SAE International,
[2020]
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| Colección: | Automated vehicle safety series ;
bk. 1. |
| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Functional safety papers. Chapter 1. The development of safety cases for an autonomous vehicle: a comparative study on different methods ; Chapter 2. A means of assessing the entire functional safety hazard space ; Chapter 3. A model-driven approach for dependent failure analysis in consideration of multicore processors using modified EAST-ADL ; Chapter 4. An analysis of ISO 26262: machine learning and safety in automotive software
- Sotif papers. Chapter 5. Hazard analysis and risk assessment beyond ISO 26262: management of complexity via restructuring of risk-generating process ; Chapter 6. The science of testing: an automotive perspective
- Multi-agent safety papers. Chapter 7. Theory of collision avoidance capability in automated driving technologies ; Chapter 8. A lane-changing decision-making method for intelligent vehicle based on acceleration field ; Chapter 9. Entropy in reaction space
- upgrade of time-to-collision quantity ; Chapter 10. A Maneuver-based threat assessment strategy for collision avoidance.