Autonomous Vehicle Safety Solutions
Foundations, Technologies, and Prospects for the Future
- 1st Edition - January 1, 2026
- Imprint: Elsevier
- Editor: Aparna Kumari
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 3 3 5 2 8 - 0
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 3 3 5 2 9 - 7
Autonomous Vehicle Safety Solutions: Foundations, Technologies, and Prospects for the Future addresses the dynamically evolving state of the art that traverses and brings together… Read more
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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.
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.
Graduate students, researchers, and academics in automotive engineering; intelligent transportation engineering; applied computer science and software engineering; electronics and instrumentation engineering; applied mechanical engineering (robotics and mechatronics).
1. Introduction to Autonomous Vehicle Safety
2. Fundamentals of Vehicle Safety Systems
3. Sensor Technologies in Autonomous Vehicles
4. Artificial Intelligence in Vehicle Safety
5. Communication Technologies in Autonomous Vehicles
6. Cybersecurity Challenges in Autonomous Vehicles
7. Adaptive Cruise Control and Collision Avoidance Systems
8. Human-Machine Interaction in Smart Vehicles
9. Testing and Validation of Autonomous Vehicle Safety
10. Ethical Considerations for Autonomous Driving
11. Future Trends in Autonomous Vehicle Safety
12. Conclusion
2. Fundamentals of Vehicle Safety Systems
3. Sensor Technologies in Autonomous Vehicles
4. Artificial Intelligence in Vehicle Safety
5. Communication Technologies in Autonomous Vehicles
6. Cybersecurity Challenges in Autonomous Vehicles
7. Adaptive Cruise Control and Collision Avoidance Systems
8. Human-Machine Interaction in Smart Vehicles
9. Testing and Validation of Autonomous Vehicle Safety
10. Ethical Considerations for Autonomous Driving
11. Future Trends in Autonomous Vehicle Safety
12. Conclusion
- Edition: 1
- Published: January 1, 2026
- Imprint: Elsevier
- Language: English
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Aparna Kumari
Dr. Aparna Kumari is an Assistant Professor in the Dept. of Computer Science and Engineering at the Institute of Technology, Nirma University, India. She was listed among the top 2% most influential researchers globally by Stanford University in 2021, 2022, and 2023 and was also awarded the Shri Pralhad P Chhabria Award – Runner Up for Best Female Professional (Early Career) in 2023. Her research interests include smart grid technologies, blockchain, Artificial Intelligence, quantum computing, electric vehicles, virtual and augmented reality, cybersecurity, and IoT. She is currently serving as a reviewer for the IEEE Internet of Things Journal, Multimedia Tools and Applications (Springer), Sensors (MDPI), the Journal of Information Security and Applications (Elsevier), and IEEE Network. She is a member of the Program/Technical Committee on UPCON2020, IC4S-2021, IC4S-2022, and EPTL2022, as well as of IEEE Women in Engineering.
Affiliations and expertise
Assistant Professor, Department of Computer Science and Engineering, Institute of Technology, Nirma University, Ahmedabad, Gujarat, India