An integrated analysis of vehicular sensors and biosensors, highlighting advancements and challenges in automotive technology
Abstract:
Vehicular sensors and biosensors have become integral to modern automotive technology, driving advancements in vehicle safety, performance optimization, and driver well-b...Show MoreMetadata
Abstract:
Vehicular sensors and biosensors have become integral to modern automotive technology, driving advancements in vehicle safety, performance optimization, and driver well-being. These technologies play a central role in the evolution of advanced driver assistance systems, autonomous vehicles, and vehicle health monitoring systems. This paper explores the development, applications, and challenges of vehicular sensors and biosensors, emphasizing their impact on transportation. It examines the historical context and evolution of these technologies, their role in monitoring environmental and internal vehicle parameters, and their contribution to assessing the driver’s physiological state. The study focuses on sensor fusion, integrating data from multiple sensors for more accurate and comprehensive insights. It also addresses challenges related to accuracy, reliability, privacy, and environmental adaptability, proposing solutions such as advancements in sensor technology, improved data integration techniques, and robust privacy measures. Future research will focus on enhancing sensor performance and integration, incorporating machine learning and AI to refine data analysis and decision-making. This paper aims to provide a detailed analysis of the current and future landscape of vehicular sensors and biosensors, highlighting their essential role in advancing automotive technology and improving the driving experience.
An integrated analysis of vehicular sensors and biosensors, highlighting advancements and challenges in automotive technology
Published in: IEEE Access ( Volume: 12)
Funding Agency:
School of Computer Science and Engineering, Vellore Institute of Technology (VIT), Vellore, Tamil Nadu, India
Raparthi Yaswanth received the B.Tech. degree in information technology from GITAM University, Visakhapatnam, India, in 2018, and the M.Tech. degree in data science from GITAM University, Hyderabad, India, in 2020. He is currently pursuing the Ph.D. degree with the School of Computer Science and Engineering, Vellore Institute of Technology (VIT), Vellore, India. His research interests include machine learning, deep learni...Show More
Raparthi Yaswanth received the B.Tech. degree in information technology from GITAM University, Visakhapatnam, India, in 2018, and the M.Tech. degree in data science from GITAM University, Hyderabad, India, in 2020. He is currently pursuing the Ph.D. degree with the School of Computer Science and Engineering, Vellore Institute of Technology (VIT), Vellore, India. His research interests include machine learning, deep learni...View more
School of Computer Science and Engineering, Vellore Institute of Technology (VIT), Vellore, Tamil Nadu, India
M. Rajasekhara Babu (Member, IEEE) received the B.Tech. degree in electronics and communication engineering (ECE) and the M.Tech. and Ph.D. degrees in computer science and engineering (CSE). He has served in various prestigious positions as the Division Leader (TCS<) and a Program Manager with VIT University. He is currently a Professor with the School of CSE, VIT University. At VIT University, he was instrumental in es...Show More
M. Rajasekhara Babu (Member, IEEE) received the B.Tech. degree in electronics and communication engineering (ECE) and the M.Tech. and Ph.D. degrees in computer science and engineering (CSE). He has served in various prestigious positions as the Division Leader (TCS<) and a Program Manager with VIT University. He is currently a Professor with the School of CSE, VIT University. At VIT University, he was instrumental in es...View more
Contents School of Computer Science and Engineering, Vellore Institute of Technology (VIT), Vellore, Tamil Nadu, India
Raparthi Yaswanth received the B.Tech. degree in information technology from GITAM University, Visakhapatnam, India, in 2018, and the M.Tech. degree in data science from GITAM University, Hyderabad, India, in 2020. He is currently pursuing the Ph.D. degree with the School of Computer Science and Engineering, Vellore Institute of Technology (VIT), Vellore, India. His research interests include machine learning, deep learning, and the Internet of Things.
Raparthi Yaswanth received the B.Tech. degree in information technology from GITAM University, Visakhapatnam, India, in 2018, and the M.Tech. degree in data science from GITAM University, Hyderabad, India, in 2020. He is currently pursuing the Ph.D. degree with the School of Computer Science and Engineering, Vellore Institute of Technology (VIT), Vellore, India. His research interests include machine learning, deep learning, and the Internet of Things.View more
School of Computer Science and Engineering, Vellore Institute of Technology (VIT), Vellore, Tamil Nadu, India
M. Rajasekhara Babu (Member, IEEE) received the B.Tech. degree in electronics and communication engineering (ECE) and the M.Tech. and Ph.D. degrees in computer science and engineering (CSE). He has served in various prestigious positions as the Division Leader (TCS<) and a Program Manager with VIT University. He is currently a Professor with the School of CSE, VIT University. At VIT University, he was instrumental in establishing state-of-art laboratory “Intel Multi-Core Architecture Research Laboratory and Embedded Systems” in collaboration with Intel, India. He has published more than 100 papers in peer reviewed journals and international conferences, produced more than ten Ph.D. students, and filed three patents. His research interests include the Internet of Things (IoT), high performance computing (HPC), and data analytics.
M. Rajasekhara Babu (Member, IEEE) received the B.Tech. degree in electronics and communication engineering (ECE) and the M.Tech. and Ph.D. degrees in computer science and engineering (CSE). He has served in various prestigious positions as the Division Leader (TCS<) and a Program Manager with VIT University. He is currently a Professor with the School of CSE, VIT University. At VIT University, he was instrumental in establishing state-of-art laboratory “Intel Multi-Core Architecture Research Laboratory and Embedded Systems” in collaboration with Intel, India. He has published more than 100 papers in peer reviewed journals and international conferences, produced more than ten Ph.D. students, and filed three patents. His research interests include the Internet of Things (IoT), high performance computing (HPC), and data analytics.View more