Electronics and Communications Technology

Revolutionizing Automotive Technology: Exploring Engineering Innovations

Quantum Technologies for Autonomous Vehicles
Security, Intelligence and Applications

Editors: Kumar Prateek
Dr. Vijay Kumar
Dr. Neetesh Saxena

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Quantum Technologies for Autonomous Vehicles

Call For Book Chapters
Pub Date: TBA
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Series: Revolutionizing Automotive Technology: Exploring Engineering Innovations

CALL FOR BOOK CHAPTERS

The advent of autonomous vehicles (AVs) represents a seismic shift in mobility and transportation, unlocked by rapid advancements in communication, navigation, and intelligent technologies. As autonomous driving capabilities become integrated into our daily transit systems, legitimate concerns emerge regarding the security, safety, and resilience of these next-generation vehicles sharing the road with human-driven counterparts.

Although the autonomous vehicles offer opportunities for enhanced safety, efficiency, and accessibility, their integration with autonomous capabilities within vehicle systems also presents distinctive challenges. In addition, large attack surface stemming from sensors, connectivity modules, complex software are still a major concern in AVs. Also, vulnerabilities arising from real-time coordination is needed across vast autonomous vehicle fleets and supporting infrastructure. Even lack of security standards and frameworks tailored to unique cyber-physical threats faced by safety-critical autonomous systems. Nonetheless, quantum technologies like quantum computing, quantum cryptography, and quantum machine learning have numerous impacts for enhancing autonomous vehicles outlook. Quantum algorithms can optimize routing and scheduling problems for autonomous vehicle fleets, enabling efficient coordination of large-scale AV networks. Quantum machine learning techniques can enhance AV perception, predictions, and decision-making, resulting in enhanced on-road performance. Quantum cryptography and quantum key distribution can secure AV communications and ensure protection against adversaries with advanced computing capabilities.

This book aims to provide a comprehensive guide to quantum technologies, AV applications, and strategic directions shaping the future of autonomous mobility, while addressing the accompanying challenges related to security and intelligent decision-making. Prospective authors are invited to contribute high-quality chapters providing in-depth information on the latest technologies and trends within the scope of the book.


Chapters are invited in the following but not limited to:

Chapter 1: Evolution of Autonomous Vehicles

Chapter 2: Sensors and Perception Systems for Autonomous Vehicle/ Secure Message Exchange between On-Road Autonomous Vehicles

Chapter 3: Secure Localization and Mapping for Autonomous Vehicles/ Cyber Security Risks for Autonomous Vehicles

Chapter 4: Security Approaches for Autonomous Driving / Real-World Applications of Autonomous Vehicles: Research Challenges and Future Directions

Chapter 5: Quantum Computing for Enhanced Autonomous Driving / Quantum Computing for faster Route Optimization / Quantum Computing Applications for Autonomous Vehicles

Chapter 6: Quantum- Learning for Autonomous Vehicles Route Optimization

Chapter 7: Quantum-Inspired Edge-Intelligence for Task Offloading in Autonomous Public Transport

Chapter 8: Quantum Cryptography for Securing Autonomous Vehicles / Quantum Cryptography for Securing Vehicle Communications

Chapter 9: Quantum-Safe Mutual Authentication and Communication for Autonomous Vehicles/Quantum-Inspired Optimization for Maintaining Autonomous Vehicles Delivery

Chapter 10: Quantum Neural Network for Improved Road Sign Recognition and Decision Making Chapter 11: Standards and Regulations for Autonomous Vehicles

Chapter 12: Unveiling the quantum technology for Autonomous Vehicle Cybersecurity

Chapter 13: Ethical and Social Impacts of Autonomous Vehicles

Chapter 14: The Future of Mobility and Autonomous Driving using Quantum-Inspired Intelligence



Important dates:
Abstract submission: 25-05-24
Abstract acceptance: 30-05-24
Full chapter submission: 30-06-24
Full chapter acceptance: 31-08-24
Final Chapter Submission: 30-09-24


Submission Procedure:
Interested authors are requested to submit their book chapter to: quantumbooksubmission@gmail.com


About the Authors / Editors:
Editors: Kumar Prateek
Assistant Professor (Guest Faculty), Department of Information Technology, Dr. B. R. Ambedkar National Institute of Technology Jalandhar, Punjab, India

Kumar Prateek currently serves as an Assistant Professor (Guest Faculty) in the Department of Information Technology, Dr. B R Ambedkar National Institute of Technology in Jalandhar, Punjab, India, since August 2023. He completed his MTech degree from the Indian Institute of Information Technology Allahabad, Prayagraj, India in 2019 and had submitted his doctoral (PhD) thesis to the Department of Information Technology at the same institution in 2023. He is a Member of IEEE and actively participates in educational and outreach activities. He has over 5 years of research experience and is passionate about research in emerging technologies. He has published in several reputable conferences and journals, including IEEE Transactions on Network Science and Engineering, IEEE Transactions on Network and Service Management, and many more. His research interests include classical, quantum, and post-quantum cryptography, privacy and security issues of the Internet of Things, smart grids, autonomous vehicles, smart healthcare, and advanced networks like vehicular ad-hoc networks and flying ad-hoc networks.

Dr. Vijay Kumar
Associate Professor, Department of Information Technology, Dr. B. R. Ambedkar National Institute of Technology Jalandhar, Punjab, India

Dr. Vijay Kumar is presently associated with the Department of Information Technology, Dr. B. R. Ambedkar National Institute of Technology in Jalandhar, Punjab, India, as an Associate Professor. He earned his PhD from the National Institute of Technology Kurukshetra and his MTech and BTech from Guru Jambheshwar University of Science & Technology in Hisar, Haryana, and Kurukshetra University in Kurukshetra, India, respectively. He is a Senior Member of IEEE and actively participates in educational and outreach activities. His research focuses on Metaheuristic techniques and Deep Learning, with an emphasis on designing and evaluating data clustering and pattern recognition in emerging applications. He has over 14 years of research experience, along with teaching. He has worked on numerous sponsored projects, out of which 03 have been completed and 01 is ongoing. He has published over 150 research papers, including 100 SCI/SCIE Journals, 25 Scopus Journals, 18 Book Chapters, and 15 International Conferences. Additionally, he has supervised a total of 11 Ph.D. students, out of which 7 have completed their degrees, and 4 are ongoing. His Google Scholar Statistics include an h-index of 43 and an i10-index of 89. He has edited numerous books on various emerging technologies in the past. With a keen interest in mentoring young researchers, he focuses on emerging research areas such as Artificial Intelligence and Machine Learning, conducting several workshops and Faculty Development Programs (FDPs) in these fields.

Dr. Neetesh Saxena
Associate Professor, School of Computer Science & Informatics, Cardiff University, Cardiff, UK

Dr. Neetesh Saxena is working as an Associate Professor in Cyber Security with the School of Computer Science and Informatics, Cardiff University, UK with 18+ years of teaching/research experience. Before joining Cardiff University, he was an Assistant Professor at Bournemouth University, UK. Prior to this, he was a Post-Doctoral Researcher in the School of Electrical and Computer Engineering at the Georgia Institute of Technology, USA, and with the Department of Computer Science, Stony Brook University, USA and SUNY Korea. He was a DAAD Scholar at Bonn-Aachen International Center for Information Technology (B-IT), Rheinische-Friedrich-Wilhelms Universität, Bonn, Germany and also a TCS Research Scholar. He is a Senior Member of IEEE and actively participates in educational and outreach activities. His current research interests include cyber security and critical infrastructure security, including quantum security, cyber-physical system security: smart grid, Vehicle to Grid networks and communication networks. His Google Scholar Statistics include an h-index of 27 and an i10-index of 45. With a keen interest in mentoring young researchers, he focuses on emerging research areas such as security, privacy, smart grid technologies, vehicle-to-grid technologies, autonomous vehicles, conducting several workshops and conferences as editor and member of technical program committee in these fields.




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