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Steering Toward Safety

AI's Impact on Automotive Functional Safety

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Unlocking the Future of Automotive Safety

Embark on a revealing journey through the dynamic landscape of functional safety in the automotive industry. 'Steering Toward Safety' offers a pivotal exploration of the integration of Artificial Intelligence (AI) in enhancing safety protocols and revolutionizing the way we perceive vehicular security.

Whether you're a beginner eager to understand the fundamentals or an expert looking to deepen your knowledge, this book is tailored to suit all knowledge levels. Across 12 chapters, delve into the synergy between AI and functional safety, unraveling the complexities and showcasing the technological strides reshaping the automotive arena.

Each chapter methodically dissects various aspects of functional safety, followed by the transformative role AI plays in safeguarding our roads. With a rare blend of lucid explanations for novices and intricate discourses for seasoned professionals, the book stands as an indispensable resource for anyone involved or interested in automotive safety.

By integrating research, case studies, and expert analyses, 'Steering Toward Safety' provides practical insights for implementing AI-driven safety measures. Readers will gain an in-depth understanding of standards like ISO 26262 and the push towards autonomy through ADAS systems and self-driving technology.

The comprehensive coverage, enriched with actionable strategies and forward-thinking perspectives, makes this book a must-read for enthusiasts, engineers, policymakers, and indeed anyone who values the vital intersection of functionality and innovation in automotive safety.

Table of Contents

1. The Road to Functional Safety
- Defining Functional Safety in Vehicles
- Historical Evolution of Safety Standards
- Understanding the Importance of ISO 26262

2. Revving Up with AI
- Basics of AI in Automotive Safety
- AI Algorithms for Risk Assessment
- Case Studies: AI-Driven Safety Solutions

3. Sensors and Sensibility
- Sensor Technology for Enhanced Safety
- Data Fusion in Modern Vehicles
- Reliability and Maintenance of Safety Sensors

4. Navigating Legal Terrain
- Regulatory Frameworks Governing Automotive AI
- Liability Issues in AI-Integrated Vehicles
- Global Perspectives on AI Regulations in Automotive

5. The Human Behind the Wheel
- Human Factors in Functional Safety
- The Role of Driver Assistance Systems
- Transition Challenges to Autonomous Driving

6. The Autonomy Roadmap
- Levels of Vehicle Autonomy
- Progression Towards Fully Autonomous Vehicles
- Ethical Considerations in Autonomous Design

7. Coding for Safety
- Software Architectures for Safety-Critical Systems
- Ensuring Code Reliability in Safety Applications
- Updates and Security of Automotive Software

8. Crisis Management
- Incident Response Protocols
- Safety Measures for Mitigating Risks
- Post-accident Analysis and Learning

9. Testing the Limits
- Simulations and Testing for AI Safety
- Real-world Testing vs. Virtual Environments
- Benchmarking Safety Performance

10. Sustainable Safety
- Green Technologies and Vehicle Safety
- The Role of Safety in Building Sustainable Mobility
- Long-term Implications of Sustainable Practices

11. The Psychology of Safety
- Perception of AI-Assisted Safety
- Building Trust in Autonomous Systems
- Cultural Impact on Safety Reception

12. Into the Future
- Emerging Trends in Automotive Safety
- The Convergence of AI and IoV (Internet of Vehicles)
- Predicting the Next Decade of Functional Safety

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