Autonomous Systems in the Internet of Vehicles
Sold by Books Puddle, New York, NY, U.S.A.
AbeBooks Seller since 22 November 2018
New - Hardcover
Condition: New
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Add to basketSold by Books Puddle, New York, NY, U.S.A.
AbeBooks Seller since 22 November 2018
Condition: New
Quantity: 4 available
Add to basketAdvancements in sensor technology have enabled autonomous systems to operate efficiently and safely in the Internet of Vehicles environment. Multisensor image fusion is a crucial component in enhancing the capabilities of these autonomous systems by combining information from multiple sensors such as cameras, LiDAR, radar, and ultrasonic sensors. This book delves into the role of multisensor image fusion in the Internet of Vehicles for autonomous systems. It will cover the fundamental concepts of multisensor image fusion, different fusion methods, and their applications in autonomous systems for the IoV. It will also address the challenges associated with multisensor fusion, such as sensor calibration, synchronization, and noise reduction and discuss the benefits of multisensor fusion in improving object detection, tracking, and decision-making processes in autonomous vehicles operating in the IoV. This book is a comprehensive overview of multisensor image fusion in the context of IoV for autonomous systems, highlighting its importance in achieving reliable and robust autonomous navigation in dynamic and complex environments.
Balamurugan Balusamy, PhD is an Associate Dean at Shiv Nadar University with more than 12 years of experience. He has published more than 200 papers in international journals and edited and authored more than 80 books. His research focuses on engineering education, blockchain, and data sciences.
Sandeep Kumar Mathivanan, PhD is an Assistant Professor in the School of Computer Science and Engineering at Galgotias University with more than six years of research experience. He is a reviewer for a number of international journals and conferences. His research interests include machine learning, deep learning, remote sensing, and big data.
Prabhu Jayagopal, PhD is a Professor in the Department of Software and Systems Engineering in the School of Computer Science, Engineering, and Information Systems at the Vellore Institute of Technology. He has published 104 papers in international journals, book chapters, and conferences. His research interests include machine learning, artificial intelligence, and IoT related to healthcare.
S.K.B. Sangeetha, PhD is a Senior Assistant Professor in the Department of Computer Science and Engineering at the SRM Institute of Science and Technology with more than 15 years of teaching experience. She has published more than 75 research articles, ten book chapters in peer-reviewed international journals, and ten patents. She is a lifetime member of the International Society for Technology in Education and the International Education Initiative.
Ali Kashif Bashir, PhD is a Professor of Networks and Security at Manchester Metropolitan University. He is also affiliated with the University of Electronic Science and Technology of China, National University of Science and Technology, Pakistan, and University of Guelph. He has delivered more than 30 talks across the globe, organized more than 40 guest editorials, and chaired 35 conferences and workshops.
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