Autonomous Vehicle Safety Solutions

Foundations, Technologies, and Prospects for the Future

Aparna Kumari

• Publisher: Elsevier
• Year: 2026
• Topic: Technology & Engineering
• eBook ISBN:
  9780443335297
• Subtopic: Artificial Intelligence (AI) & Semantics
• Index: Technology & Engineering

Autonomous Vehicle Safety Solutions: Foundations, Technologies, and Prospects for the Future addresses the dynamically evolving state of the art that traverses and brings together automotive engineering, electronics engineering, and computer science. Its technical overview of smart vehicles' capabilities, propelled by headway in artificial intelligence and sensor technologies, enables in-depth understanding of the safety-assurance complexities that guide their design and operation.The comprehensive volume distinguishes itself for its treatment of several exciting, emerging opportunities and trends, including machine learning algorithms, V2X connectivity, and cybersecurity. Up-to-date applications are featured through practical examples and expert insights, bringing additional value to a discourse which underscores the critical need for ongoing safety advancements and adaptability in the fast-moving context of autonomous driving systems, with their related implications on sustainability and society as a whole.The outcome is a cornerstone resource for academia and industry alike that encourages further transformative, interdisciplinary investigations to bring safety solutions to maturity and subsequent rigorous testing for validation standards to be defined, thus realizing, in a future not distant from now, a scenario where self-driving vehicles can co-exist seamlessly with traditional modes of transportation and also integrate reliably, efficiently, and without risks within the larger infrastructure. - Systematically discusses cutting-edge innovations, processes, and protocols that significantly determine autonomous vehicle safety - Offers a forward-looking perspective on breakthrough developments focused on safety and reliability for autonomous driving - Includes case studies that encapsulate implementation challenges, lessons learnt, and possible practical solutions

Table of contents

• Title of Book
• 1. Introduction to autonomous vehicle safety
• 2. Cyber security attacks and defense mechanisms in autonomous vehicles: A comprehensive review
• 3. Sensor technologies in autonomous vehicles
• 4. Artificial intelligence for autonomous vehicle safety
• 5. Communication technologies for autonomous emergency vehicles: An integrated micro aerial vehicle–assisted framework for ambulance response and road safety
• 6. Adaptive cruise control and collision avoidance systems
• 7. Human–machine interaction in smart vehicles
• 8. Safety assessment framework for autonomous vehicle using scenario-based testing: Verification and validation methodology
• 9. Ethical considerations for autonomous driving
• 10. Future trends in autonomous vehicle safety
• 11. Conclusion
• Index