The automation of road vehicles is still in a developing phase, moving towards improved technology, safety, energy and fuel efficiency, comfort, economic growth, and real-world applications. Vehicle connectivity and information exchange over the road is an essential requirement for the future of automated driving. In order to deliver real-world applications, autonomous or intelligent road vehicles face many requirements, such as on-line data storage, on-line communication, on-line maintenance, and fault-tolerance.
Amit Kumar Tyagi is a senior assistant professor (grade-I) and senior researcher at the School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, Tamilandu India. His current research focuses on machine learning with big data, blockchain technology, data science, cyber physical systems, smart and secure computing and privacy. He has contributed to several projects such as "AARIN" and "P3-Block", addressing some of the open issues related to privacy breaches in vehicular applications.
Shaveta Malik is an associate professor in the Computer Engineering Department at Terna Engineering College, University of Mumbai, India, where she has more than 12 years of work experience. She received her PhD from Lingaya's University, Faridabad, India. Her research areas focus on image processing, machine learning, deep learning, and artificial intelligence. She has published number of patents related to machine learning.